diff --git a/lib/opencpu/client.ex b/lib/opencpu/client.ex index d9253e3a54af0211e9a4d693c3e8838c71b26c3b..0a93ddbb2d62fb50f64f6f73953b3a577d8752bf 100644 --- a/lib/opencpu/client.ex +++ b/lib/opencpu/client.ex @@ -13,13 +13,6 @@ defmodule OpenCPU.Client do ] end - def process_url(url) do - case endpoint_url = get_env(:endpoint_url) do - nil -> raise OpenCPU.OpenCPUError, message: "OpenCPU endpoint is not configured" - _ -> endpoint_url <> url - end - end - @doc """ Execute a request on an OpenCPU server and parse the JSON result. """ @@ -28,6 +21,7 @@ defmodule OpenCPU.Client do options = Map.merge(%Options{}, options) function_url(package, function, options.user, options.github_remote, :json) + |> process_url |> process_query(options.data) |> Map.fetch!(:body) |> Poison.decode! @@ -47,12 +41,15 @@ defmodule OpenCPU.Client do response = "#{package_url(package, options.user, options.github_remote)}/info" |> process_url - |> HTTPotion.get(request_options(nil)) - - case response.status_code in [200, 201] do - true -> response.body - false -> raise OpenCPU.OpenCPUError, message: - "Error getting description, status code #{response.status_code}: #{response.body}" + |> HTTPoison.get(headers(), request_options()) + + case response do + {:ok, %HTTPoison.Response{status_code: code} = response} when code in [200, 201] -> + response.body + {:ok, %HTTPoison.Response{status_code: code, body: body}} -> + raise OpenCPU.OpenCPUError, message: "Error getting description: #{code}, #{body}" + {:error, %HTTPoison.Error{reason: reason}} -> + raise OpenCPU.OpenCPUError, message: "Error: #{reason}" end end @@ -69,29 +66,50 @@ defmodule OpenCPU.Client do response = function_url(package, function, options.user, options.github_remote, nil) + |> process_url |> process_query(options.data) OpenCPU.DelayedCalculation.new( - response.headers.hdrs |> Map.get("location"), + response.headers |> Enum.into(%{}) |> Map.get("Location"), response.body |> String.split("\n") ) end defp process_query(url, data) do - response = HTTPotion.post(process_url(url), request_options(data)) + data = Poison.encode!(data) - case response.status_code do - code when code in [200, 201] -> + case HTTPoison.post(url, data, headers(), request_options()) do + {:ok, %HTTPoison.Response{status_code: code} = response} when code in [200, 201] -> response - 403 -> - raise OpenCPU.AccessDenied, message: response.body - code when code in 400..499 -> - raise OpenCPU.BadRequest, message: response.body - code when code in 500..599 -> - raise OpenCPU.InternalServerError, message: response.body - _ -> - raise OpenCPU.OpenCPUError, message: - "Invalid status code: #{response.status_code}, #{response.body}" + {:ok, %HTTPoison.Response{status_code: 403, body: body}} -> + raise OpenCPU.AccessDenied, message: body + {:ok, %HTTPoison.Response{status_code: code, body: body}} when code in 400..499 -> + raise OpenCPU.BadRequest, message: body + {:ok, %HTTPoison.Response{status_code: code, body: body}} when code in 500..599 -> + raise OpenCPU.BadRequest, message: body + {:ok, %HTTPoison.Response{status_code: code, body: body}} -> + raise OpenCPU.OpenCPUError, message: "Invalid status code: #{code}, #{body}" + {:error, %HTTPoison.Error{reason: reason}} -> + raise OpenCPU.OpenCPUError, message: "Error: #{reason}" + end + end + + def process_url(url) do + case endpoint_url = get_env(:endpoint_url) do + nil -> raise OpenCPU.OpenCPUError, message: "OpenCPU endpoint is not configured" + _ -> endpoint_url <> url + end + end + + def headers do + [{"Content-Type", "application/json"}] + end + + def request_options do + case {get_env(:username), get_env(:password)} do + {nil, _} -> [] + {_, nil} -> [] + {username, password} -> [hackney: [basic_auth: {username, password}]] end end @@ -110,21 +128,6 @@ defmodule OpenCPU.Client do end def convert_na_to_nil(data), do: data - defp request_options(data) do - options = [ - verify: get_env(:verify_ssl, true), - body: Poison.encode!(data), - headers: ["Content-Type": "application/json"] - ] - - if get_env(:username) && get_env(:password) do - options - |> Keyword.put(:basic_auth, {get_env(:username), get_env(:password)}) - else - options - end - end - def function_url(package, function, user \\ :system, github_remote \\ false, format \\ nil) do "#{package_url(package, user, github_remote)}/R/#{function}/#{format}" end diff --git a/lib/opencpu/delayed_calculation.ex b/lib/opencpu/delayed_calculation.ex index 44f0dc5fb50f36878cbaf0db1d9d39f323853607..5e5545f882ea50558a75900d4ace36b1c58e8df8 100644 --- a/lib/opencpu/delayed_calculation.ex +++ b/lib/opencpu/delayed_calculation.ex @@ -57,11 +57,11 @@ defmodule OpenCPU.DelayedCalculation do end defp process_resource(resource) do - case response = HTTPotion.get(resource, [follow_redirects: true]) do - %HTTPotion.Response{} -> - String.trim(response.body) - %HTTPotion.ErrorResponse{message: message} -> - raise OpenCPU.BadRequest, message: "Error loading resource '#{resource}': #{message}" + case HTTPoison.get(resource, [], [follow_redirect: true]) do + {:ok, %HTTPoison.Response{body: body}} -> + String.trim(body) + {:error, %HTTPoison.Error{reason: reason}} -> + raise OpenCPU.BadRequest, message: "Error loading resource '#{resource}': #{reason}" end end diff --git a/mix.exs b/mix.exs index 1d6c4c1c82d2d40318c2b9b28a34e2b35e4eba52..34e720bd53e1dc22e743c48e32813bd01a20470c 100644 --- a/mix.exs +++ b/mix.exs @@ -29,9 +29,9 @@ defmodule OpenCPU.Mixfile do # Type "mix help deps" for more examples and options defp deps do [ - {:httpotion, "~> 3.0.2"}, + {:httpoison, "~> 0.12"}, {:poison, "~> 3.1"}, - {:exvcr, "~> 0.8", only: :test}, + {:exvcr, "~> 0.8", only: :test} ] end end diff --git a/mix.lock b/mix.lock index 6b50bdc3b4d67125ee2b4c4239543ddfaa2a6f20..a310179e286ea9481b2b09e02b420e0a088d1d15 100644 --- a/mix.lock +++ b/mix.lock @@ -1,11 +1,19 @@ -%{"exactor": {:hex, :exactor, "2.2.3", "a6972f43bb6160afeb73e1d8ab45ba604cd0ac8b5244c557093f6e92ce582786", [:mix], []}, +%{"certifi": {:hex, :certifi, "1.2.1", "c3904f192bd5284e5b13f20db3ceac9626e14eeacfbb492e19583cf0e37b22be", [:rebar3], []}, + "exactor": {:hex, :exactor, "2.2.3", "a6972f43bb6160afeb73e1d8ab45ba604cd0ac8b5244c557093f6e92ce582786", [:mix], []}, "excoveralls": {:hex, :excoveralls, "0.2.4", "952aed76674c877bd615770c23085b3d89a60bb736bf5180cb7519ac496e1e99", [:mix], [{:exprintf, "~> 0.1", [hex: :exprintf, optional: false]}, {:jsex, "~> 2.0", [hex: :jsex, optional: false]}]}, "exjsx": {:hex, :exjsx, "3.2.1", "1bc5bf1e4fd249104178f0885030bcd75a4526f4d2a1e976f4b428d347614f0f", [:mix], [{:jsx, "~> 2.8.0", [hex: :jsx, optional: false]}]}, "exprintf": {:hex, :exprintf, "0.2.1", "b7e895dfb00520cfb7fc1671303b63b37dc3897c59be7cbf1ae62f766a8a0314", [:mix], []}, "exvcr": {:hex, :exvcr, "0.8.10", "17090dea4758eb2349146746084a7c422c77f36b922611df6a46fef40a4bf94c", [:mix], [{:exactor, "~> 2.2", [hex: :exactor, optional: false]}, {:exjsx, "~> 3.2", [hex: :exjsx, optional: false]}, {:httpoison, "~> 0.11", [hex: :httpoison, optional: true]}, {:httpotion, "~> 3.0", [hex: :httpotion, optional: true]}, {:ibrowse, "~> 4.2.2", [hex: :ibrowse, optional: true]}, {:meck, "~> 0.8.3", [hex: :meck, optional: false]}]}, + "hackney": {:hex, :hackney, "1.8.6", "21a725db3569b3fb11a6af17d5c5f654052ce9624219f1317e8639183de4a423", [:rebar3], [{:certifi, "1.2.1", [hex: :certifi, optional: false]}, {:idna, "5.0.2", [hex: :idna, optional: false]}, {:metrics, "1.0.1", [hex: :metrics, optional: false]}, {:mimerl, "1.0.2", [hex: :mimerl, optional: false]}, {:ssl_verify_fun, "1.1.1", [hex: :ssl_verify_fun, optional: false]}]}, + "httpoison": {:hex, :httpoison, "0.12.0", "8fc3d791c5afe6beb0093680c667dd4ce712a49d89c38c3fe1a43100dd76cf90", [:mix], [{:hackney, "~> 1.8.0", [hex: :hackney, optional: false]}]}, "httpotion": {:hex, :httpotion, "3.0.2", "525b9bfeb592c914a61a8ee31fdde3871e1861dfe805f8ee5f711f9f11a93483", [:mix], [{:ibrowse, "~> 4.2", [hex: :ibrowse, optional: false]}]}, "ibrowse": {:hex, :ibrowse, "4.2.2", "b32b5bafcc77b7277eff030ed32e1acc3f610c64e9f6aea19822abcadf681b4b", [:rebar3], []}, + "idna": {:hex, :idna, "5.0.2", "ac203208ada855d95dc591a764b6e87259cb0e2a364218f215ad662daa8cd6b4", [:rebar3], [{:unicode_util_compat, "0.2.0", [hex: :unicode_util_compat, optional: false]}]}, "jsex": {:hex, :jsex, "2.0.0", "d54a39e49418b34b1a78236a92f73e4d7c46329c220275d7223fab4b3dc6120f", [:mix], [{:jsx, "~> 2.0", [hex: :jsx, optional: false]}]}, "jsx": {:hex, :jsx, "2.8.2", "7acc7d785b5abe8a6e9adbde926a24e481f29956dd8b4df49e3e4e7bcc92a018", [:mix, :rebar3], []}, "meck": {:hex, :meck, "0.8.7", "ebad16ca23f685b07aed3bc011efff65fbaf28881a8adf925428ef5472d390ee", [:rebar3], []}, - "poison": {:hex, :poison, "3.1.0", "d9eb636610e096f86f25d9a46f35a9facac35609a7591b3be3326e99a0484665", [:mix], []}} + "metrics": {:hex, :metrics, "1.0.1", "25f094dea2cda98213cecc3aeff09e940299d950904393b2a29d191c346a8486", [:rebar3], []}, + "mimerl": {:hex, :mimerl, "1.0.2", "993f9b0e084083405ed8252b99460c4f0563e41729ab42d9074fd5e52439be88", [:rebar3], []}, + "poison": {:hex, :poison, "3.1.0", "d9eb636610e096f86f25d9a46f35a9facac35609a7591b3be3326e99a0484665", [:mix], []}, + "ssl_verify_fun": {:hex, :ssl_verify_fun, "1.1.1", "28a4d65b7f59893bc2c7de786dec1e1555bd742d336043fe644ae956c3497fbe", [:make, :rebar], []}, + "unicode_util_compat": {:hex, :unicode_util_compat, "0.2.0", "dbbccf6781821b1c0701845eaf966c9b6d83d7c3bfc65ca2b78b88b8678bfa35", [:rebar3], []}} diff --git a/test/fixtures/vcr_cassettes/animation_flip_coin_getters.json b/test/fixtures/vcr_cassettes/animation_flip_coin_getters.json index 62822ef958d4db906f477536dc22f2ba0194213b..40639a495d96af490468a2507e060fc239c1bf4b 100644 --- a/test/fixtures/vcr_cassettes/animation_flip_coin_getters.json +++ b/test/fixtures/vcr_cassettes/animation_flip_coin_getters.json @@ -11,29 +11,29 @@ "url": "https://public.opencpu.org/ocpu/library/animation/R/flip.coin/" }, "response": { - "body": "/ocpu/tmp/x0f284ca594/R/flip.coin\n/ocpu/tmp/x0f284ca594/R/.val\n/ocpu/tmp/x0f284ca594/graphics/1\n/ocpu/tmp/x0f284ca594/graphics/2\n/ocpu/tmp/x0f284ca594/graphics/3\n/ocpu/tmp/x0f284ca594/graphics/4\n/ocpu/tmp/x0f284ca594/graphics/5\n/ocpu/tmp/x0f284ca594/graphics/6\n/ocpu/tmp/x0f284ca594/graphics/7\n/ocpu/tmp/x0f284ca594/graphics/8\n/ocpu/tmp/x0f284ca594/graphics/9\n/ocpu/tmp/x0f284ca594/graphics/10\n/ocpu/tmp/x0f284ca594/graphics/11\n/ocpu/tmp/x0f284ca594/graphics/12\n/ocpu/tmp/x0f284ca594/graphics/13\n/ocpu/tmp/x0f284ca594/graphics/14\n/ocpu/tmp/x0f284ca594/graphics/15\n/ocpu/tmp/x0f284ca594/graphics/16\n/ocpu/tmp/x0f284ca594/graphics/17\n/ocpu/tmp/x0f284ca594/graphics/18\n/ocpu/tmp/x0f284ca594/graphics/19\n/ocpu/tmp/x0f284ca594/graphics/20\n/ocpu/tmp/x0f284ca594/graphics/21\n/ocpu/tmp/x0f284ca594/graphics/22\n/ocpu/tmp/x0f284ca594/graphics/23\n/ocpu/tmp/x0f284ca594/graphics/24\n/ocpu/tmp/x0f284ca594/graphics/25\n/ocpu/tmp/x0f284ca594/graphics/26\n/ocpu/tmp/x0f284ca594/graphics/27\n/ocpu/tmp/x0f284ca594/graphics/28\n/ocpu/tmp/x0f284ca594/graphics/29\n/ocpu/tmp/x0f284ca594/graphics/30\n/ocpu/tmp/x0f284ca594/graphics/31\n/ocpu/tmp/x0f284ca594/graphics/32\n/ocpu/tmp/x0f284ca594/graphics/33\n/ocpu/tmp/x0f284ca594/graphics/34\n/ocpu/tmp/x0f284ca594/graphics/35\n/ocpu/tmp/x0f284ca594/graphics/36\n/ocpu/tmp/x0f284ca594/graphics/37\n/ocpu/tmp/x0f284ca594/graphics/38\n/ocpu/tmp/x0f284ca594/graphics/39\n/ocpu/tmp/x0f284ca594/graphics/40\n/ocpu/tmp/x0f284ca594/graphics/41\n/ocpu/tmp/x0f284ca594/graphics/42\n/ocpu/tmp/x0f284ca594/graphics/43\n/ocpu/tmp/x0f284ca594/graphics/44\n/ocpu/tmp/x0f284ca594/graphics/45\n/ocpu/tmp/x0f284ca594/graphics/46\n/ocpu/tmp/x0f284ca594/graphics/47\n/ocpu/tmp/x0f284ca594/graphics/48\n/ocpu/tmp/x0f284ca594/graphics/49\n/ocpu/tmp/x0f284ca594/graphics/50\n/ocpu/tmp/x0f284ca594/source\n/ocpu/tmp/x0f284ca594/console\n/ocpu/tmp/x0f284ca594/info\n/ocpu/tmp/x0f284ca594/files/DESCRIPTION\n", + "body": "/ocpu/tmp/x0450cd4d4d/R/flip.coin\n/ocpu/tmp/x0450cd4d4d/R/.val\n/ocpu/tmp/x0450cd4d4d/graphics/1\n/ocpu/tmp/x0450cd4d4d/graphics/2\n/ocpu/tmp/x0450cd4d4d/graphics/3\n/ocpu/tmp/x0450cd4d4d/graphics/4\n/ocpu/tmp/x0450cd4d4d/graphics/5\n/ocpu/tmp/x0450cd4d4d/graphics/6\n/ocpu/tmp/x0450cd4d4d/graphics/7\n/ocpu/tmp/x0450cd4d4d/graphics/8\n/ocpu/tmp/x0450cd4d4d/graphics/9\n/ocpu/tmp/x0450cd4d4d/graphics/10\n/ocpu/tmp/x0450cd4d4d/graphics/11\n/ocpu/tmp/x0450cd4d4d/graphics/12\n/ocpu/tmp/x0450cd4d4d/graphics/13\n/ocpu/tmp/x0450cd4d4d/graphics/14\n/ocpu/tmp/x0450cd4d4d/graphics/15\n/ocpu/tmp/x0450cd4d4d/graphics/16\n/ocpu/tmp/x0450cd4d4d/graphics/17\n/ocpu/tmp/x0450cd4d4d/graphics/18\n/ocpu/tmp/x0450cd4d4d/graphics/19\n/ocpu/tmp/x0450cd4d4d/graphics/20\n/ocpu/tmp/x0450cd4d4d/graphics/21\n/ocpu/tmp/x0450cd4d4d/graphics/22\n/ocpu/tmp/x0450cd4d4d/graphics/23\n/ocpu/tmp/x0450cd4d4d/graphics/24\n/ocpu/tmp/x0450cd4d4d/graphics/25\n/ocpu/tmp/x0450cd4d4d/graphics/26\n/ocpu/tmp/x0450cd4d4d/graphics/27\n/ocpu/tmp/x0450cd4d4d/graphics/28\n/ocpu/tmp/x0450cd4d4d/graphics/29\n/ocpu/tmp/x0450cd4d4d/graphics/30\n/ocpu/tmp/x0450cd4d4d/graphics/31\n/ocpu/tmp/x0450cd4d4d/graphics/32\n/ocpu/tmp/x0450cd4d4d/graphics/33\n/ocpu/tmp/x0450cd4d4d/graphics/34\n/ocpu/tmp/x0450cd4d4d/graphics/35\n/ocpu/tmp/x0450cd4d4d/graphics/36\n/ocpu/tmp/x0450cd4d4d/graphics/37\n/ocpu/tmp/x0450cd4d4d/graphics/38\n/ocpu/tmp/x0450cd4d4d/graphics/39\n/ocpu/tmp/x0450cd4d4d/graphics/40\n/ocpu/tmp/x0450cd4d4d/graphics/41\n/ocpu/tmp/x0450cd4d4d/graphics/42\n/ocpu/tmp/x0450cd4d4d/graphics/43\n/ocpu/tmp/x0450cd4d4d/graphics/44\n/ocpu/tmp/x0450cd4d4d/graphics/45\n/ocpu/tmp/x0450cd4d4d/graphics/46\n/ocpu/tmp/x0450cd4d4d/graphics/47\n/ocpu/tmp/x0450cd4d4d/graphics/48\n/ocpu/tmp/x0450cd4d4d/graphics/49\n/ocpu/tmp/x0450cd4d4d/graphics/50\n/ocpu/tmp/x0450cd4d4d/source\n/ocpu/tmp/x0450cd4d4d/console\n/ocpu/tmp/x0450cd4d4d/info\n/ocpu/tmp/x0450cd4d4d/files/DESCRIPTION\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:40 GMT", + "Date": "Tue, 04 Jul 2017 19:35:49 GMT", "Content-Type": "text/plain; charset=utf-8", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d49043b98d7d00baea49afd7e564d1fdc1499110599; expires=Tue, 03-Jul-18 19:36:39 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=d3e45d79f65f191cd0ef3aa777f8d5c981499196949; expires=Wed, 04-Jul-18 19:35:49 GMT; path=/; domain=.opencpu.org; HttpOnly", "Cache-Control": "max-age=300, public", - "X-ocpu-session": "x0f284ca594", - "Location": "https://public.opencpu.org/ocpu/tmp/x0f284ca594/", + "X-ocpu-session": "x0450cd4d4d", + "Location": "https://public.opencpu.org/ocpu/tmp/x0450cd4d4d/", "Access-Control-Allow-Origin": "*", "Access-Control-Expose-Headers": "Location, X-ocpu-session, Content-Type, Cache-Control", "Access-Control-Allow-Headers": "Origin, Content-Type, Accept, Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:40 UTC", + "X-ocpu-time": "2017-07-04 19:35:48 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", - "X-ocpu-cache": "EXPIRED", + "X-ocpu-cache": "HIT", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b7f7b7c147f-AMS" + "CF-RAY": "379487a44ae372e9-AMS" }, "status_code": 201, "type": "ok" @@ -44,54 +44,20 @@ "body": "", "headers": [], "method": "get", - "options": [], - "request_body": "", - "url": "https://public.opencpu.org/ocpu/tmp/x0f284ca594/R/.val" - }, - "response": { - "body": "Redirect to http://public.opencpu.org/ocpu/tmp/x0f284ca594/R/.val/print\n", - "headers": { - "Date": "Mon, 03 Jul 2017 19:36:40 GMT", - "Transfer-Encoding": "chunked", - "Connection": "keep-alive", - "Set-Cookie": "__cfduid=dbb3e74966f073b1d6d87474ef844af661499110600; expires=Tue, 03-Jul-18 19:36:40 GMT; path=/; 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19:36:38 UTC", + "X-ocpu-time": "2017-07-04 19:35:45 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b78f8be0755-AMS" + "CF-RAY": "379487894dfc72e9-AMS" }, "status_code": 400, "type": "ok" diff --git a/test/fixtures/vcr_cassettes/description.json b/test/fixtures/vcr_cassettes/description.json index b8490a2eee2ed17e9397cf6ff4669454f30fd438..5fb1ad70657b29178d8f6c10bd8d29025428835f 100644 --- a/test/fixtures/vcr_cassettes/description.json +++ b/test/fixtures/vcr_cassettes/description.json @@ -1,7 +1,7 @@ [ { "request": { - "body": "null", + "body": "", "headers": { "Content-Type": "application/json" }, @@ -11,13 +11,13 @@ "url": "https://public.opencpu.org/ocpu/library/ade4/info" }, "response": { - "body": "\n\t\tInformation on package 'ade4'\n\nDescription:\n\nPackage: ade4\nVersion: 1.7-6\nDate: 2017-03-23\nTitle: Analysis of Ecological Data : Exploratory and\n Euclidean Methods in Environmental Sciences\nAuthor: Stéphane Dray <stephane.dray@univ-lyon1.fr>,\n Anne-Béatrice Dufour\n <anne-beatrice.dufour@univ-lyon1.fr>, and Jean\n Thioulouse <jean.thioulouse@univ-lyon1.fr>, with\n contributions from Thibaut Jombart, Sandrine\n Pavoine, Jean R. Lobry, Sébastien Ollier, and\n Aurélie Siberchicot. Based on earlier work by\n Daniel Chessel.\nMaintainer: Aurélie Siberchicot\n <aurelie.siberchicot@univ-lyon1.fr>\nDepends: R (>= 2.10)\nImports: graphics, grDevices, methods, stats, utils\nSuggests: ade4TkGUI, adegraphics, adephylo, ape, CircStats,\n deldir, lattice, maptools, MASS, pixmap, sp, spdep,\n splancs, waveslim\nDescription: Multivariate data analysis and graphical display.\nLicense: GPL (>= 2)\nURL: http://pbil.univ-lyon1.fr/ADE-4, Mailing list:\n http://listes.univ-lyon1.fr/wws/info/adelist\nBugReports: https://github.com/sdray/ade4/issues\nEncoding: UTF-8\nNeedsCompilation: yes\nPackaged: 2017-03-23 11:59:39 UTC; aurelie\nRepository: CRAN\nDate/Publication: 2017-03-23 13:09:49 UTC\nBuilt: R 3.4.0; x86_64-pc-linux-gnu; \"Sat, 29 Apr 2017\n 20:23:06 +0000\"; unix\n\nIndex:\n\nEH Amount of Evolutionary History\nPI2newick Import data files from Phylogenetic\n Independance Package\nRV.rtest Monte-Carlo Test on the sum of eigenvalues of a\n co-inertia analysis (in R).\nRVdist.randtest Tests of randomization on the correlation\n between two distance matrices (in R).\nabouheif.eg Phylogenies and quantitative traits from\n Abouheif\nacacia Spatial pattern analysis in plant communities\nadd.scatter Add graphics to an existing plot\nade4-deprecated Deprecated functions in ade4\nade4-package The ade4 package\nade4toR Format Change Utility\naminoacyl Codon usage\namova Analysis of molecular variance\napis108 Allelic frequencies in ten honeybees\n populations at eight microsatellites loci\napqe Apportionment of Quadratic Entropy\naravo Distribution of Alpine plants in Aravo\n (Valloire, France)\nardeche Fauna Table with double (row and column)\n partitioning\narea.plot Graphical Display of Areas\narrival Arrivals at an intensive care unit\nas.taxo Taxonomy\natlas Small Ecological Dataset\natya Genetic variability of Cacadors\navijons Bird species distribution\navimedi Fauna Table for Constrained Ordinations\naviurba Ecological Tables Triplet\nbacteria Genomes of 43 Bacteria\nbanque Table of Factors\nbaran95 African Estuary Fishes\nbca Between-Class Analysis\nbca.coinertia Between-class coinertia analysis\nbca.rlq Between-Class RLQ analysis\nbf88 Cubic Ecological Data\nbicenter.wt Double Weighted Centring\nbordeaux Wine Tasting\nbsetal97 Ecological and Biological Traits\nbuech Buech basin\nbutterfly Genetics-Ecology-Environment Triple\nbwca.dpcoa Between- and within-class double principal\n coordinate analysis\ncailliez Transformation to make Euclidean a distance\n matrix\ncapitales Road Distances\ncarni19 Phylogeny and quantative trait of carnivora\ncarni70 Phylogeny and quantitative traits of carnivora\ncarniherbi49 Taxonomy, phylogenies and quantitative traits\n of carnivora and herbivora\ncasitas Enzymatic polymorphism in Mus musculus\ncca Canonical Correspondence Analysis\nchatcat Qualitative Weighted Variables\nchats Pair of Variables\nchazeb Charolais-Zebus\nchevaine Enzymatic polymorphism in Leuciscus cephalus\nchickenk Veterinary epidemiological study to assess the\n risk factors for losses in broiler chickens\nclementines Fruit Production\ncnc2003 Frequenting movie theaters in France in 2003\ncoinertia Coinertia Analysis\ncoleo Table of Fuzzy Biological Traits\ncombine.4thcorner Functions to combine and adjust the outputs\n 3-table methods\ncorkdist Tests of randomization between distances\n applied to 'kdist' objetcs\ncorvus Corvus morphology\ncostatis STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\ncostatis.randtest Monte-Carlo test on a Costatis analysis (in C).\ndeug Exam marks for some students\ndisc Rao's dissimilarity coefficient\ndiscrimin Linear Discriminant Analysis (descriptive\n statistic)\ndiscrimin.coa Discriminant Correspondence Analysis\ndist.binary Computation of Distance Matrices for Binary\n Data\ndist.dudi Computation of the Distance Matrix from a\n Statistical Triplet\ndist.genet Genetic distances from gene frequencies\ndist.ktab Mixed-variables coefficient of distance\ndist.neig Computation of the Distance Matrix associated\n to a Neighbouring Graph\ndist.prop Computation of Distance Matrices of Percentage\n Data\ndist.quant Computation of Distance Matrices on\n Quantitative Variables\ndivc Rao's diversity coefficient also called\n quadratic entropy\ndivcmax Maximal value of Rao's diversity coefficient\n also called quadratic entropy\ndotchart.phylog Representation of many quantitative variables\n in front of a phylogenetic tree\ndotcircle Representation of n values on a circle\ndoubs Pair of Ecological Tables\ndpcoa Double principal coordinate analysis\ndudi Duality Diagram\ndudi.acm Multiple Correspondence Analysis\ndudi.coa Correspondence Analysis\ndudi.dec Decentred Correspondence Analysis\ndudi.fca Fuzzy Correspondence Analysis and Fuzzy\n Principal Components Analysis\ndudi.hillsmith Ordination of Tables mixing quantitative\n variables and factors\ndudi.mix Ordination of Tables mixing quantitative\n variables and factors\ndudi.nsc Non symmetric correspondence analysis\ndudi.pca Principal Component Analysis\ndudi.pco Principal Coordinates Analysis\ndunedata Dune Meadow Data\necg Electrocardiogram data\necomor Ecomorphological Convergence\nelec88 Electoral Data\nescopage K-tables of wine-tasting\neuro123 Triangular Data\nfission Fission pattern and heritable morphological\n traits\nfoucart K-tables Correspondence Analysis with the same\n rows and the same columns\nfourthcorner Functions to compute the fourth-corner\n statistic\nfriday87 Faunistic K-tables\nfruits Pair of Tables\nfuzzygenet Reading a table of genetic data (diploid\n individuals)\ngearymoran Moran's I and Geary'c randomization tests for\n spatial and phylogenetic autocorrelation\ngenet A class of data: tables of populations and\n alleles\nggtortoises Microsatellites of Galapagos tortoises\n populations\ngranulo Granulometric Curves\ngridrowcol Complete regular grid analysis\nhdpg Genetic Variation In Human Populations\nhousetasks Contingency Table\nhumDNAm human mitochondrial DNA restriction data\nichtyo Point sampling of fish community\ninertia.dudi Decomposition of inertia (i.e. contributions)\n in multivariate methods\nirishdata Geary's Irish Data\nis.euclid Is a Distance Matrix Euclidean?\njulliot Seed dispersal\njv73 K-tables Multi-Regions\nkcponds Ponds in a nature reserve\nkdist the class of objects 'kdist' (K distance\n matrices)\nkdist2ktab Transformation of K distance matrices (object\n 'kdist') into K Euclidean representations\n (object 'ktab')\nkdisteuclid a way to obtain Euclidean distance matrices\nkplot Generic Function for Multiple Graphs in a\n K-tables Analysis\nkplot.foucart Multiple Graphs for the Foucart's\n Correspondence Analysis\nkplot.mcoa Multiple Graphs for a Multiple Co-inertia\n Analysis\nkplot.mfa Multiple Graphs for a Multiple Factorial\n Analysis\nkplot.pta Multiple Graphs for a Partial Triadic Analysis\nkplot.sepan Multiple Graphs for Separated Analyses in a\n K-tables\nkplot.statis Multiple Graphs of a STATIS Analysis\nkrandtest Class of the Permutation Tests (in C).\nktab the class of objects 'ktab' (K-tables)\nktab.data.frame Creation of K-tables from a data frame\nktab.list.df Creating a K-tables from a list of data frames.\nktab.list.dudi Creation of a K-tables from a list of duality\n diagrams\nktab.match2ktabs STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\nktab.within Process to go from a Within Analysis to a\n K-tables\nlascaux Genetic/Environment and types of variables\nlingoes Transformation of a Distance Matrix for\n becoming Euclidean\nlizards Phylogeny and quantitative traits of lizards\nmacaca Landmarks\nmacon Wine Tasting\nmacroloire Assemblages of Macroinvertebrates in the Loire\n River (France)\nmafragh Phyto-Ecological Survey\nmantel.randtest Mantel test (correlation between two distance\n matrices (in C).)\nmantel.rtest Mantel test (correlation between two distance\n matrices (in R).)\nmaples Phylogeny and quantitative traits of flowers\nmariages Correspondence Analysis Table\nmbpcaiv Multiblock principal component analysis with\n instrumental variables\nmbpls Multiblock partial least squares\nmcoa Multiple CO-inertia Analysis\nmdpcoa Multiple Double Principal Coordinate Analysis\nmeau Ecological Data : sites-variables,\n sites-species, where and when\nmeaudret Ecological Data : sites-variables,\n sites-species, where and when\nmfa Multiple Factorial Analysis\nmicrosatt Genetic Relationships between cattle breeds\n with microsatellites\nmjrochet Phylogeny and quantitative traits of teleos\n fishes\nmld Multi Level Decomposition of unidimensional\n data\nmollusc Faunistic Communities and Sampling Experiment\nmonde84 Global State of the World in 1984\nmorphosport Athletes' Morphology\nmstree Minimal Spanning Tree\nmultispati Multivariate spatial analysis\nmultispati.randtest Multivariate spatial autocorrelation test (in\n C)\nmultispati.rtest Multivariate spatial autocorrelation test\nneig Neighbourhood Graphs\nnewick.eg Phylogenetic trees in Newick format\nnewick2phylog Create phylogeny\nniche Method to Analyse a pair of tables :\n Environmental and Faunistic Data\nnipals Non-linear Iterative Partial Least Squares\n (NIPALS) algorithm\nnjplot Phylogeny and trait of bacteria\nolympic Olympic Decathlon\noptimEH Nee and May's optimizing process\noribatid Oribatid mite\noriginality Originality of a species\norisaved Maximal or minimal amount of originality saved\n under optimal conditions\northobasis Orthonormal basis for orthonormal transform\northogram Orthonormal decomposition of variance\nours A table of Qualitative Variables\npalm Phylogenetic and quantitative traits of\n amazonian palm trees\npap Taxonomy and quantitative traits of carnivora\npcaiv Principal component analysis with respect to\n instrumental variables\npcaivortho Principal Component Analysis with respect to\n orthogonal instrumental variables\npcoscaled Simplified Analysis in Principal Coordinates\npcw Distribution of of tropical trees along the\n Panama canal\nperthi02 Contingency Table with a partition in Molecular\n Biology\nphylog Phylogeny\npiosphere Plant traits response to grazing\nplot.phylog Plot phylogenies\npresid2002 Results of the French presidential elections of\n 2002\nprint.within Within-Class Analysis\nprocella Phylogeny and quantitative traits of birds\nprocuste Simple Procruste Rotation between two sets of\n points\nprocuste.randtest Monte-Carlo Test on the sum of the singular\n values of a procustean rotation (in C).\nprocuste.rtest Monte-Carlo Test on the sum of the singular\n values of a procustean rotation (in R).\npta Partial Triadic Analysis of a K-tables\nquasieuclid Transformation of a distance matrice to a\n Euclidean one\nrandEH Nee and May's random process\nrandboot Bootstrap simulations\nrandboot.multiblock Bootstraped simulations for multiblock methods\nrandtest Class of the Permutation Tests (in C).\nrandtest.amova Permutation tests on an analysis of molecular\n variance (in C).\nrandtest.between Monte-Carlo Test on the between-groups inertia\n percentage (in C).\nrandtest.coinertia Monte-Carlo test on a Co-inertia analysis (in\n C).\nrandtest.discrimin Monte-Carlo Test on a Discriminant Analysis (in\n C).\nrandtest.dpcoa Permutation test for double principal\n coordinate analysis (DPCoA)\nrandtest.pcaiv Monte-Carlo Test on the percentage of explained\n (i.e. constrained) inertia\nrandxval Two-fold cross-validation\nrankrock Ordination Table\nreconst Reconstitution of Data from a Duality Diagram\nrhizobium Genetic structure of two nitrogen fixing\n bacteria influenced by geographical isolation\n and host specialization\nrhone Physico-Chemistry Data\nrlq RLQ analysis\nrpjdl Avifauna and Vegetation\nrtest Class of the Permutation Tests (in R).\nrtest.between Monte-Carlo Test on the between-groups inertia\n percentage (in R).\nrtest.discrimin Monte-Carlo Test on a Discriminant Analysis (in\n R).\ns.arrow Plot of the factorial maps for the projection\n of a vector basis\ns.chull Plot of the factorial maps with polygons of\n contour by level of a factor\ns.class Plot of factorial maps with representation of\n point classes\ns.corcircle Plot of the factorial maps of a correlation\n circle\ns.distri Plot of a frequency distribution\ns.hist Display of a scatterplot and its two marginal\n histograms\ns.image Graph of a variable using image and contour\ns.kde2d Scatter Plot with Kernel Density Estimate\ns.label Scatter Plot\ns.logo Representation of an object in a graph by a\n picture\ns.match Plot of Paired Coordinates\ns.match.class Scatterplot of two sets of coordinates and a\n partionning into classes\ns.multinom Graph of frequency profiles (useful for\n instance in genetic)\ns.traject Trajectory Plot\ns.value Representation of a value in a graph\nsantacatalina Indirect Ordination\nsarcelles Array of Recapture of Rings\nscalewt Compute or scale data using (weighted) means,\n variances and covariances (possibly for the\n levels of a factor)\nscatter Graphical representation of the outputs of a\n multivariate analysis\nscatter.acm Plot of the factorial maps in a Multiple\n Correspondence Analysis\nscatter.coa Plot of the factorial maps for a correspondence\n analysis\nscatter.dudi Plot of the Factorial Maps\nscatter.fca Plot of the factorial maps for a fuzzy\n correspondence analysis\nscatterutil Graphical utility functions\nsco.boxplot Representation of the link between a variable\n and a set of qualitative variables\nsco.class 1D plot of a numeric score and a factor with\n labels\nsco.distri Representation by mean- standard deviation of a\n set of weight distributions on a numeric score\nsco.gauss Relationships between one score and qualitative\n variables\nsco.label 1D plot of a numeric score with labels\nsco.match 1D plot of a pair of numeric scores with labels\nsco.quant Graph to Analyse the Relation between a Score\n and Quantitative Variables\nscore Graphs for One Dimension\nscore.acm Graphs to study one factor in a Multiple\n Correspondence Analysis\nscore.coa Reciprocal scaling after a correspondence\n analysis\nscore.mix Graphs to Analyse a factor in a Mixed Analysis\nscore.pca Graphs to Analyse a factor in PCA\nseconde Students and Subjects\nsepan Separated Analyses in a K-tables\nskulls Morphometric Evolution\nstatico STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\nstatico.krandtest Monte-Carlo test on a Statico analysis (in C).\nstatis STATIS, a method for analysing K-tables\nsteppe Transect in the Vegetation\nsummary.between Between-Class Analysis\nsummary.multiblock Display and summarize multiblock objects\nsupcol Projections of Supplementary Columns\nsuprow Projections of Supplementary Rows\nsymbols.phylog Representation of a quantitative variable in\n front of a phylogenetic tree\nsyndicats Two Questions asked on a Sample of 1000\n Respondents\nt3012 Average temperatures of 30 French cities\ntable.cont Plot of Contingency Tables\ntable.dist Graph Display for Distance Matrices\ntable.paint Plot of the arrays by grey levels\ntable.phylog Plot arrays in front of a phylogenetic tree\ntable.value Plot of the Arrays\ntarentaise Mountain Avifauna\ntaxo.eg Examples of taxonomy\ntestdim Function to perform a test of dimensionality\ntestdim.multiblock Selection of the number of dimension by\n two-fold cross-validation for multiblock\n methods\ntintoodiel Tinto and Odiel estuary geochemistry\ntithonia Phylogeny and quantitative traits of flowers\ntortues Morphological Study of the Painted Turtle\ntoxicity Homogeneous Table\ntriangle.class Triangular Representation and Groups of points\ntriangle.plot Triangular Plotting\ntrichometeo Pair of Ecological Data\nungulates Phylogeny and quantitative traits of ungulates.\nuniquewt.df Elimination of Duplicated Rows in a Array\nvariance.phylog The phylogenetic ANOVA\nvegtf Vegetation in Trois-Fontaines\nveuvage Example for Centring in PCA\nwca Within-Class Analysis\nwca.rlq Within-Class RLQ analysis\nwestafrica Freshwater fish zoogeography in west Africa\nwithincoinertia Within-class coinertia analysis\nwithinpca Normed within principal component analysis\nwitwit.coa Internal Correspondence Analysis\nwoangers Plant assemblages in woodlands of the\n conurbation of Angers (France)\nworksurv French Worker Survey (1970)\nyanomama Distance Matrices\nzealand Road distances in New-Zealand\n", + "body": "\n\t\tInformation on package 'ade4'\n\nDescription:\n\nPackage: ade4\nVersion: 1.7-6\nDate: 2017-03-23\nTitle: Analysis of Ecological Data : Exploratory and\n Euclidean Methods in Environmental Sciences\nAuthor: Stéphane Dray <stephane.dray@univ-lyon1.fr>,\n Anne-Béatrice Dufour\n <anne-beatrice.dufour@univ-lyon1.fr>, and Jean\n Thioulouse <jean.thioulouse@univ-lyon1.fr>, with\n contributions from Thibaut Jombart, Sandrine\n Pavoine, Jean R. Lobry, Sébastien Ollier, and\n Aurélie Siberchicot. Based on earlier work by\n Daniel Chessel.\nMaintainer: Aurélie Siberchicot\n <aurelie.siberchicot@univ-lyon1.fr>\nDepends: R (>= 2.10)\nImports: graphics, grDevices, methods, stats, utils\nSuggests: ade4TkGUI, adegraphics, adephylo, ape, CircStats,\n deldir, lattice, maptools, MASS, pixmap, sp, spdep,\n splancs, waveslim\nDescription: Multivariate data analysis and graphical display.\nLicense: GPL (>= 2)\nURL: http://pbil.univ-lyon1.fr/ADE-4, Mailing list:\n http://listes.univ-lyon1.fr/wws/info/adelist\nBugReports: https://github.com/sdray/ade4/issues\nEncoding: UTF-8\nNeedsCompilation: yes\nPackaged: 2017-03-23 11:59:39 UTC; aurelie\nRepository: CRAN\nDate/Publication: 2017-03-23 13:09:49 UTC\nBuilt: R 3.4.0; x86_64-pc-linux-gnu; \"Sat, 29 Apr 2017\n 20:23:06 +0000\"; unix\n\nIndex:\n\nEH Amount of Evolutionary History\nPI2newick Import data files from Phylogenetic\n Independance Package\nRV.rtest Monte-Carlo Test on the sum of eigenvalues of a\n co-inertia analysis (in R).\nRVdist.randtest Tests of randomization on the correlation\n between two distance matrices (in R).\nabouheif.eg Phylogenies and quantitative traits from\n Abouheif\nacacia Spatial pattern analysis in plant communities\nadd.scatter Add graphics to an existing plot\nade4-deprecated Deprecated functions in ade4\nade4-package The ade4 package\nade4toR Format Change Utility\naminoacyl Codon usage\namova Analysis of molecular variance\napis108 Allelic frequencies in ten honeybees\n populations at eight microsatellites loci\napqe Apportionment of Quadratic Entropy\naravo Distribution of Alpine plants in Aravo\n (Valloire, France)\nardeche Fauna Table with double (row and column)\n partitioning\narea.plot Graphical Display of Areas\narrival Arrivals at an intensive care unit\nas.taxo Taxonomy\natlas Small Ecological Dataset\natya Genetic variability of Cacadors\navijons Bird species distribution\navimedi Fauna Table for Constrained Ordinations\naviurba Ecological Tables Triplet\nbacteria Genomes of 43 Bacteria\nbanque Table of Factors\nbaran95 African Estuary Fishes\nbca Between-Class Analysis\nbca.coinertia Between-class coinertia analysis\nbca.rlq Between-Class RLQ analysis\nbf88 Cubic Ecological Data\nbicenter.wt Double Weighted Centring\nbordeaux Wine Tasting\nbsetal97 Ecological and Biological Traits\nbuech Buech basin\nbutterfly Genetics-Ecology-Environment Triple\nbwca.dpcoa Between- and within-class double principal\n coordinate analysis\ncailliez Transformation to make Euclidean a distance\n matrix\ncapitales Road Distances\ncarni19 Phylogeny and quantative trait of carnivora\ncarni70 Phylogeny and quantitative traits of carnivora\ncarniherbi49 Taxonomy, phylogenies and quantitative traits\n of carnivora and herbivora\ncasitas Enzymatic polymorphism in Mus musculus\ncca Canonical Correspondence Analysis\nchatcat Qualitative Weighted Variables\nchats Pair of Variables\nchazeb Charolais-Zebus\nchevaine Enzymatic polymorphism in Leuciscus cephalus\nchickenk Veterinary epidemiological study to assess the\n risk factors for losses in broiler chickens\nclementines Fruit Production\ncnc2003 Frequenting movie theaters in France in 2003\ncoinertia Coinertia Analysis\ncoleo Table of Fuzzy Biological Traits\ncombine.4thcorner Functions to combine and adjust the outputs\n 3-table methods\ncorkdist Tests of randomization between distances\n applied to 'kdist' objetcs\ncorvus Corvus morphology\ncostatis STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\ncostatis.randtest Monte-Carlo test on a Costatis analysis (in C).\ndeug Exam marks for some students\ndisc Rao's dissimilarity coefficient\ndiscrimin Linear Discriminant Analysis (descriptive\n statistic)\ndiscrimin.coa Discriminant Correspondence Analysis\ndist.binary Computation of Distance Matrices for Binary\n Data\ndist.dudi Computation of the Distance Matrix from a\n Statistical Triplet\ndist.genet Genetic distances from gene frequencies\ndist.ktab Mixed-variables coefficient of distance\ndist.neig Computation of the Distance Matrix associated\n to a Neighbouring Graph\ndist.prop Computation of Distance Matrices of Percentage\n Data\ndist.quant Computation of Distance Matrices on\n Quantitative Variables\ndivc Rao's diversity coefficient also called\n quadratic entropy\ndivcmax Maximal value of Rao's diversity coefficient\n also called quadratic entropy\ndotchart.phylog Representation of many quantitative variables\n in front of a phylogenetic tree\ndotcircle Representation of n values on a circle\ndoubs Pair of Ecological Tables\ndpcoa Double principal coordinate analysis\ndudi Duality Diagram\ndudi.acm Multiple Correspondence Analysis\ndudi.coa Correspondence Analysis\ndudi.dec Decentred Correspondence Analysis\ndudi.fca Fuzzy Correspondence Analysis and Fuzzy\n Principal Components Analysis\ndudi.hillsmith Ordination of Tables mixing quantitative\n variables and factors\ndudi.mix Ordination of Tables mixing quantitative\n variables and factors\ndudi.nsc Non symmetric correspondence analysis\ndudi.pca Principal Component Analysis\ndudi.pco Principal Coordinates Analysis\ndunedata Dune Meadow Data\necg Electrocardiogram data\necomor Ecomorphological Convergence\nelec88 Electoral Data\nescopage K-tables of wine-tasting\neuro123 Triangular Data\nfission Fission pattern and heritable morphological\n traits\nfoucart K-tables Correspondence Analysis with the same\n rows and the same columns\nfourthcorner Functions to compute the fourth-corner\n statistic\nfriday87 Faunistic K-tables\nfruits Pair of Tables\nfuzzygenet Reading a table of genetic data (diploid\n individuals)\ngearymoran Moran's I and Geary'c randomization tests for\n spatial and phylogenetic autocorrelation\ngenet A class of data: tables of populations and\n alleles\nggtortoises Microsatellites of Galapagos tortoises\n populations\ngranulo Granulometric Curves\ngridrowcol Complete regular grid analysis\nhdpg Genetic Variation In Human Populations\nhousetasks Contingency Table\nhumDNAm human mitochondrial DNA restriction data\nichtyo Point sampling of fish community\ninertia.dudi Decomposition of inertia (i.e. contributions)\n in multivariate methods\nirishdata Geary's Irish Data\nis.euclid Is a Distance Matrix Euclidean?\njulliot Seed dispersal\njv73 K-tables Multi-Regions\nkcponds Ponds in a nature reserve\nkdist the class of objects 'kdist' (K distance\n matrices)\nkdist2ktab Transformation of K distance matrices (object\n 'kdist') into K Euclidean representations\n (object 'ktab')\nkdisteuclid a way to obtain Euclidean distance matrices\nkplot Generic Function for Multiple Graphs in a\n K-tables Analysis\nkplot.foucart Multiple Graphs for the Foucart's\n Correspondence Analysis\nkplot.mcoa Multiple Graphs for a Multiple Co-inertia\n Analysis\nkplot.mfa Multiple Graphs for a Multiple Factorial\n Analysis\nkplot.pta Multiple Graphs for a Partial Triadic Analysis\nkplot.sepan Multiple Graphs for Separated Analyses in a\n K-tables\nkplot.statis Multiple Graphs of a STATIS Analysis\nkrandtest Class of the Permutation Tests (in C).\nktab the class of objects 'ktab' (K-tables)\nktab.data.frame Creation of K-tables from a data frame\nktab.list.df Creating a K-tables from a list of data frames.\nktab.list.dudi Creation of a K-tables from a list of duality\n diagrams\nktab.match2ktabs STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\nktab.within Process to go from a Within Analysis to a\n K-tables\nlascaux Genetic/Environment and types of variables\nlingoes Transformation of a Distance Matrix for\n becoming Euclidean\nlizards Phylogeny and quantitative traits of lizards\nmacaca Landmarks\nmacon Wine Tasting\nmacroloire Assemblages of Macroinvertebrates in the Loire\n River (France)\nmafragh Phyto-Ecological Survey\nmantel.randtest Mantel test (correlation between two distance\n matrices (in C).)\nmantel.rtest Mantel test (correlation between two distance\n matrices (in R).)\nmaples Phylogeny and quantitative traits of flowers\nmariages Correspondence Analysis Table\nmbpcaiv Multiblock principal component analysis with\n instrumental variables\nmbpls Multiblock partial least squares\nmcoa Multiple CO-inertia Analysis\nmdpcoa Multiple Double Principal Coordinate Analysis\nmeau Ecological Data : sites-variables,\n sites-species, where and when\nmeaudret Ecological Data : sites-variables,\n sites-species, where and when\nmfa Multiple Factorial Analysis\nmicrosatt Genetic Relationships between cattle breeds\n with microsatellites\nmjrochet Phylogeny and quantitative traits of teleos\n fishes\nmld Multi Level Decomposition of unidimensional\n data\nmollusc Faunistic Communities and Sampling Experiment\nmonde84 Global State of the World in 1984\nmorphosport Athletes' Morphology\nmstree Minimal Spanning Tree\nmultispati Multivariate spatial analysis\nmultispati.randtest Multivariate spatial autocorrelation test (in\n C)\nmultispati.rtest Multivariate spatial autocorrelation test\nneig Neighbourhood Graphs\nnewick.eg Phylogenetic trees in Newick format\nnewick2phylog Create phylogeny\nniche Method to Analyse a pair of tables :\n Environmental and Faunistic Data\nnipals Non-linear Iterative Partial Least Squares\n (NIPALS) algorithm\nnjplot Phylogeny and trait of bacteria\nolympic Olympic Decathlon\noptimEH Nee and May's optimizing process\noribatid Oribatid mite\noriginality Originality of a species\norisaved Maximal or minimal amount of originality saved\n under optimal conditions\northobasis Orthonormal basis for orthonormal transform\northogram Orthonormal decomposition of variance\nours A table of Qualitative Variables\npalm Phylogenetic and quantitative traits of\n amazonian palm trees\npap Taxonomy and quantitative traits of carnivora\npcaiv Principal component analysis with respect to\n instrumental variables\npcaivortho Principal Component Analysis with respect to\n orthogonal instrumental variables\npcoscaled Simplified Analysis in Principal Coordinates\npcw Distribution of of tropical trees along the\n Panama canal\nperthi02 Contingency Table with a partition in Molecular\n Biology\nphylog Phylogeny\npiosphere Plant traits response to grazing\nplot.phylog Plot phylogenies\npresid2002 Results of the French presidential elections of\n 2002\nprint.within Within-Class Analysis\nprocella Phylogeny and quantitative traits of birds\nprocuste Simple Procruste Rotation between two sets of\n points\nprocuste.randtest Monte-Carlo Test on the sum of the singular\n values of a procustean rotation (in C).\nprocuste.rtest Monte-Carlo Test on the sum of the singular\n values of a procustean rotation (in R).\npta Partial Triadic Analysis of a K-tables\nquasieuclid Transformation of a distance matrice to a\n Euclidean one\nrandEH Nee and May's random process\nrandboot Bootstrap simulations\nrandboot.multiblock Bootstraped simulations for multiblock methods\nrandtest Class of the Permutation Tests (in C).\nrandtest.amova Permutation tests on an analysis of molecular\n variance (in C).\nrandtest.between Monte-Carlo Test on the between-groups inertia\n percentage (in C).\nrandtest.coinertia Monte-Carlo test on a Co-inertia analysis (in\n C).\nrandtest.discrimin Monte-Carlo Test on a Discriminant Analysis (in\n C).\nrandtest.dpcoa Permutation test for double principal\n coordinate analysis (DPCoA)\nrandtest.pcaiv Monte-Carlo Test on the percentage of explained\n (i.e. constrained) inertia\nrandxval Two-fold cross-validation\nrankrock Ordination Table\nreconst Reconstitution of Data from a Duality Diagram\nrhizobium Genetic structure of two nitrogen fixing\n bacteria influenced by geographical isolation\n and host specialization\nrhone Physico-Chemistry Data\nrlq RLQ analysis\nrpjdl Avifauna and Vegetation\nrtest Class of the Permutation Tests (in R).\nrtest.between Monte-Carlo Test on the between-groups inertia\n percentage (in R).\nrtest.discrimin Monte-Carlo Test on a Discriminant Analysis (in\n R).\ns.arrow Plot of the factorial maps for the projection\n of a vector basis\ns.chull Plot of the factorial maps with polygons of\n contour by level of a factor\ns.class Plot of factorial maps with representation of\n point classes\ns.corcircle Plot of the factorial maps of a correlation\n circle\ns.distri Plot of a frequency distribution\ns.hist Display of a scatterplot and its two marginal\n histograms\ns.image Graph of a variable using image and contour\ns.kde2d Scatter Plot with Kernel Density Estimate\ns.label Scatter Plot\ns.logo Representation of an object in a graph by a\n picture\ns.match Plot of Paired Coordinates\ns.match.class Scatterplot of two sets of coordinates and a\n partionning into classes\ns.multinom Graph of frequency profiles (useful for\n instance in genetic)\ns.traject Trajectory Plot\ns.value Representation of a value in a graph\nsantacatalina Indirect Ordination\nsarcelles Array of Recapture of Rings\nscalewt Compute or scale data using (weighted) means,\n variances and covariances (possibly for the\n levels of a factor)\nscatter Graphical representation of the outputs of a\n multivariate analysis\nscatter.acm Plot of the factorial maps in a Multiple\n Correspondence Analysis\nscatter.coa Plot of the factorial maps for a correspondence\n analysis\nscatter.dudi Plot of the Factorial Maps\nscatter.fca Plot of the factorial maps for a fuzzy\n correspondence analysis\nscatterutil Graphical utility functions\nsco.boxplot Representation of the link between a variable\n and a set of qualitative variables\nsco.class 1D plot of a numeric score and a factor with\n labels\nsco.distri Representation by mean- standard deviation of a\n set of weight distributions on a numeric score\nsco.gauss Relationships between one score and qualitative\n variables\nsco.label 1D plot of a numeric score with labels\nsco.match 1D plot of a pair of numeric scores with labels\nsco.quant Graph to Analyse the Relation between a Score\n and Quantitative Variables\nscore Graphs for One Dimension\nscore.acm Graphs to study one factor in a Multiple\n Correspondence Analysis\nscore.coa Reciprocal scaling after a correspondence\n analysis\nscore.mix Graphs to Analyse a factor in a Mixed Analysis\nscore.pca Graphs to Analyse a factor in PCA\nseconde Students and Subjects\nsepan Separated Analyses in a K-tables\nskulls Morphometric Evolution\nstatico STATIS and Co-Inertia : Analysis of a series of\n paired ecological tables\nstatico.krandtest Monte-Carlo test on a Statico analysis (in C).\nstatis STATIS, a method for analysing K-tables\nsteppe Transect in the Vegetation\nsummary.between Between-Class Analysis\nsummary.multiblock Display and summarize multiblock objects\nsupcol Projections of Supplementary Columns\nsuprow Projections of Supplementary Rows\nsymbols.phylog Representation of a quantitative variable in\n front of a phylogenetic tree\nsyndicats Two Questions asked on a Sample of 1000\n Respondents\nt3012 Average temperatures of 30 French cities\ntable.cont Plot of Contingency Tables\ntable.dist Graph Display for Distance Matrices\ntable.paint Plot of the arrays by grey levels\ntable.phylog Plot arrays in front of a phylogenetic tree\ntable.value Plot of the Arrays\ntarentaise Mountain Avifauna\ntaxo.eg Examples of taxonomy\ntestdim Function to perform a test of dimensionality\ntestdim.multiblock Selection of the number of dimension by\n two-fold cross-validation for multiblock\n methods\ntintoodiel Tinto and Odiel estuary geochemistry\ntithonia Phylogeny and quantitative traits of flowers\ntortues Morphological Study of the Painted Turtle\ntoxicity Homogeneous Table\ntriangle.class Triangular Representation and Groups of points\ntriangle.plot Triangular Plotting\ntrichometeo Pair of Ecological Data\nungulates Phylogeny and quantitative traits of ungulates.\nuniquewt.df Elimination of Duplicated Rows in a Array\nvariance.phylog The phylogenetic ANOVA\nvegtf Vegetation in Trois-Fontaines\nveuvage Example for Centring in PCA\nwca Within-Class Analysis\nwca.rlq Within-Class RLQ analysis\nwestafrica Freshwater fish zoogeography in west Africa\nwithincoinertia Within-class coinertia analysis\nwithinpca Normed within principal component analysis\nwitwit.coa Internal Correspondence Analysis\nwoangers Plant assemblages in woodlands of the\n conurbation of Angers (France)\nworksurv French Worker Survey (1970)\nyanomama Distance Matrices\nzealand Road distances in New-Zealand\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:36 GMT", + "Date": "Tue, 04 Jul 2017 19:35:47 GMT", "Content-Type": "text/plain; charset=utf-8", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d83fd631290f02a0d4734ab7fa359ab871499110595; expires=Tue, 03-Jul-18 19:36:35 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=ded028cd7004080f689a33f47932fae421499196947; expires=Wed, 04-Jul-18 19:35:47 GMT; path=/; domain=.opencpu.org; HttpOnly", "Cache-Control": "max-age=86400, 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Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:39 UTC", + "X-ocpu-time": "2017-07-04 19:35:46 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "X-ocpu-cache": "EXPIRED", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b7ccb6b72a7-AMS" + "CF-RAY": "3794878f0a4a72e9-AMS" }, "status_code": 201, "type": "ok" diff --git a/test/fixtures/vcr_cassettes/flip_coin.json b/test/fixtures/vcr_cassettes/flip_coin.json index 9fb0b40183096339f0a6b8ac01ea873a3c4af86f..c7ed682a3fdff2126cc304c416bbe06dd9f731fa 100644 --- a/test/fixtures/vcr_cassettes/flip_coin.json +++ b/test/fixtures/vcr_cassettes/flip_coin.json @@ -11,29 +11,29 @@ "url": "https://public.opencpu.org/ocpu/library/animation/R/flip.coin/json" }, "response": { - "body": "{\n \"freq\": [0.42, 0.58],\n \"nmax\": [50]\n}\n", + "body": "{\n \"freq\": [0.52, 0.48],\n \"nmax\": [50]\n}\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:37 GMT", + "Date": "Tue, 04 Jul 2017 19:35:47 GMT", "Content-Type": "application/json", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d43aa163da19b00be9313397c622fb7631499110596; expires=Tue, 03-Jul-18 19:36:36 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=d4f5868ad2e6fbca08ef47c277bf920a81499196946; expires=Wed, 04-Jul-18 19:35:46 GMT; path=/; domain=.opencpu.org; HttpOnly", "Cache-Control": "max-age=300, public", - "X-ocpu-session": "x0672b619eb", - "Location": "https://public.opencpu.org/ocpu/tmp/x0672b619eb/", + "X-ocpu-session": "x08d4179601", + "Location": "https://public.opencpu.org/ocpu/tmp/x08d4179601/", "Access-Control-Allow-Origin": "*", "Access-Control-Expose-Headers": "Location, X-ocpu-session, Content-Type, Cache-Control", "Access-Control-Allow-Headers": "Origin, Content-Type, Accept, Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:36 UTC", + "X-ocpu-time": "2017-07-04 19:35:47 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "X-ocpu-cache": "EXPIRED", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b6bcf5f2bee-AMS" + "CF-RAY": "379487937dda72e9-AMS" }, "status_code": 201, "type": "ok" diff --git a/test/fixtures/vcr_cassettes/github_package_not_found.json b/test/fixtures/vcr_cassettes/github_package_not_found.json index c1536edff0ebcf18e9400238d2ab1ab6fdd3aa7a..98c77d090bc7c1f794bff75571e40e15d70314c4 100644 --- a/test/fixtures/vcr_cassettes/github_package_not_found.json +++ b/test/fixtures/vcr_cassettes/github_package_not_found.json @@ -13,22 +13,22 @@ "response": { "body": "Github App baz/foo not installed on this server\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:38 GMT", + "Date": "Tue, 04 Jul 2017 19:35:44 GMT", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d612190d7791ef407bd7146b64583fedc1499110598; expires=Tue, 03-Jul-18 19:36:38 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=dafd6c65b3066d69cfa18ef656003e15d1499196941; expires=Wed, 04-Jul-18 19:35:41 GMT; path=/; domain=.opencpu.org; HttpOnly", "Access-Control-Allow-Origin": "*", "Access-Control-Expose-Headers": "Location, X-ocpu-session, Content-Type, Cache-Control", "Access-Control-Allow-Headers": "Origin, Content-Type, Accept, Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:38 UTC", + "X-ocpu-time": "2017-07-04 19:35:44 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b773eed2bee-AMS" + "CF-RAY": "379487724dbe72e9-AMS" }, "status_code": 404, "type": "ok" diff --git a/test/fixtures/vcr_cassettes/prepare.json b/test/fixtures/vcr_cassettes/prepare.json index b5c9058b6a6d3c694cc239641649bffe880df3c6..a11a3e608aaa9b36d09573060c862056acd89723 100644 --- a/test/fixtures/vcr_cassettes/prepare.json +++ b/test/fixtures/vcr_cassettes/prepare.json @@ -11,29 +11,29 @@ "url": "https://public.opencpu.org/ocpu/library/digest/R/hmac/" }, "response": { - "body": "/ocpu/tmp/x0fbb142632/R/hmac\n/ocpu/tmp/x0fbb142632/R/.val\n/ocpu/tmp/x0fbb142632/stdout\n/ocpu/tmp/x0fbb142632/source\n/ocpu/tmp/x0fbb142632/console\n/ocpu/tmp/x0fbb142632/info\n/ocpu/tmp/x0fbb142632/files/DESCRIPTION\n", + "body": "/ocpu/tmp/x0962d8fd71/R/hmac\n/ocpu/tmp/x0962d8fd71/R/.val\n/ocpu/tmp/x0962d8fd71/stdout\n/ocpu/tmp/x0962d8fd71/source\n/ocpu/tmp/x0962d8fd71/console\n/ocpu/tmp/x0962d8fd71/info\n/ocpu/tmp/x0962d8fd71/files/DESCRIPTION\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:38 GMT", + "Date": "Tue, 04 Jul 2017 19:35:47 GMT", "Content-Type": "text/plain; charset=utf-8", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d3d7f7600ff3235473a91fe8293cef1471499110597; expires=Tue, 03-Jul-18 19:36:37 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=ded028cd7004080f689a33f47932fae421499196947; expires=Wed, 04-Jul-18 19:35:47 GMT; path=/; domain=.opencpu.org; HttpOnly", "Cache-Control": "max-age=300, public", - "X-ocpu-session": "x0fbb142632", - "Location": "https://public.opencpu.org/ocpu/tmp/x0fbb142632/", + "X-ocpu-session": "x0962d8fd71", + "Location": "https://public.opencpu.org/ocpu/tmp/x0962d8fd71/", "Access-Control-Allow-Origin": "*", "Access-Control-Expose-Headers": "Location, X-ocpu-session, Content-Type, Cache-Control", "Access-Control-Allow-Headers": "Origin, Content-Type, Accept, Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:37 UTC", + "X-ocpu-time": "2017-07-04 19:35:47 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "X-ocpu-cache": "EXPIRED", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b73fb10147f-AMS" + "CF-RAY": "37948797f9d972e9-AMS" }, "status_code": 201, "type": "ok" diff --git a/test/fixtures/vcr_cassettes/response_with_na_values.json b/test/fixtures/vcr_cassettes/response_with_na_values.json index 6e3b93c8de3ec8ef5dea1d923726b2ed8b8a79a8..d23aea5c41e644cc77a820052942e09a6009ea93 100644 --- a/test/fixtures/vcr_cassettes/response_with_na_values.json +++ b/test/fixtures/vcr_cassettes/response_with_na_values.json @@ -13,27 +13,27 @@ "response": { "body": "{\n \"y\": [\"not_na\"],\n \"x\": [\"NA\"]\n}\n", "headers": { - "Date": "Mon, 03 Jul 2017 19:36:37 GMT", + "Date": "Tue, 04 Jul 2017 19:35:45 GMT", "Content-Type": "application/json", "Transfer-Encoding": "chunked", "Connection": "keep-alive", - "Set-Cookie": "__cfduid=d73a7efc4e863412cedb1424801778c1e1499110597; expires=Tue, 03-Jul-18 19:36:37 GMT; path=/; domain=.opencpu.org; HttpOnly", + "Set-Cookie": "__cfduid=d706141c6ed9862b99f2e87fc99de91201499196945; expires=Wed, 04-Jul-18 19:35:45 GMT; path=/; domain=.opencpu.org; HttpOnly", "Cache-Control": "max-age=300, public", - "X-ocpu-session": "x0ce45aacd6", - "Location": "https://public.opencpu.org/ocpu/tmp/x0ce45aacd6/", + "X-ocpu-session": "x00c2182bc5", + "Location": "https://public.opencpu.org/ocpu/tmp/x00c2182bc5/", "Access-Control-Allow-Origin": "*", "Access-Control-Expose-Headers": "Location, X-ocpu-session, Content-Type, Cache-Control", "Access-Control-Allow-Headers": "Origin, Content-Type, Accept, Accept-Encoding, Cache-Control, Authorization", "Access-Control-Allow-Credentials": "true", "X-ocpu-r": "R version 3.4.1 (2017-06-30)", "X-ocpu-locale": "en_US.UTF-8", - "X-ocpu-time": "2017-07-03 19:36:37 UTC", + "X-ocpu-time": "2017-07-04 19:35:45 UTC", "X-ocpu-version": "2.0.3.1", "X-ocpu-server": "rApache", "Vary": "Accept-Encoding", "X-ocpu-cache": "EXPIRED", "Server": "cloudflare-nginx", - "CF-RAY": "378c4b703ce92c36-AMS" + "CF-RAY": "3794878ce8c872e9-AMS" }, "status_code": 201, "type": "ok" diff --git a/test/opencpu/client_test.exs b/test/opencpu/client_test.exs index 55eff6e7247da9d95773359d6ed4ebf893b9a08a..f6cff532faf97b9b3f279dfc7dc0af9c11c3fb38 100644 --- a/test/opencpu/client_test.exs +++ b/test/opencpu/client_test.exs @@ -1,11 +1,11 @@ defmodule OpenCPU.ClientTest do use ExUnit.Case, async: false - use ExVCR.Mock + use ExVCR.Mock, adapter: ExVCR.Adapter.Hackney alias OpenCPU.Client setup_all do ExVCR.Config.cassette_library_dir("test/fixtures/vcr_cassettes") - HTTPotion.start + HTTPoison.start :ok end diff --git a/test/opencpu/delayed_calculation_test.exs b/test/opencpu/delayed_calculation_test.exs index 2d89e63e1c58cc212a3259ac3be1d25161ed039a..dd5e0ec6ea095db729fb91691531091a95a90668 100644 --- a/test/opencpu/delayed_calculation_test.exs +++ b/test/opencpu/delayed_calculation_test.exs @@ -1,12 +1,12 @@ defmodule OpenCPU.DelayedCalculationTest do use ExUnit.Case, async: false - use ExVCR.Mock + use ExVCR.Mock, adapter: ExVCR.Adapter.Hackney alias OpenCPU.{Client, DelayedCalculation} setup_all do Application.put_env(:opencpu, :endpoint_url, "https://public.opencpu.org/ocpu") ExVCR.Config.cassette_library_dir("test/fixtures/vcr_cassettes") - HTTPotion.start + HTTPoison.start :ok end