statsample-2.0.2

https://rubygems.org

statsample

quick gemspec

.gem

.gem metadata (gemspec)

.gemspec

id: 60452

number: 2.0.2

platform: ruby

spec_sha256: 2c63ccaafa3e2e6af90a32234602948731c3c3ec5358e3776577bd7d5dfe76ca

sha256: b06261b105a61145f1e8cf7acfd90c078ac9da003e2cf1c5f4816a40b295fe77

created_at: 2024-05-13 08:14:34 UTC

updated_at: 2024-06-03 08:53:34 UTC

position: 1

version_data_entries_count: 150

uploaded_at: 2016-03-28 15:24:25 UTC

indexed: true

has_extensions:

extensions:

Gem size: 209 KB

Version Data Entries

Total: 150

Unpacked size: 640 KB

Full NameModeUIDGIDMtimeLinknameSizeSHA
benchmarks/correlation_matrix_methods/correlation_matrix_with_graphics.ods1006440048.9 KB1ea2b75059450fb587c22a008db12ac8fcddf315cd84db667d87aac4d3605c31
benchmarks/correlation_matrix_methods/results.ds10064400921 Bytes21fec73ab63e7693dc0586398b52e0fbdeb3f6dc2f2e70ac5f7a2fe2e2453465
benchmarks/factor_map.rb100644001.02 KB57014903bb4a1b062016731054b0f17fe8b428e83d1345efda746ff3af8d4e49
benchmarks/helpers_benchmark.rb10064400164 Bytes3ebcde4cbd75f6ad1ab313b6825e06852bd7eb2b7ab94012683b81a82a612797
data/locale/es/LC_MESSAGES/statsample.mo1006440012.7 KB626c7abe772f91dc5c377fe3d2879351cb2d7c1aa37818e93bb1aec5edc6d359
doc_latex/manual/equations.tex100644001.86 KBadb3018525d2f7ca20ade82905936c7abd3c56db402b0cc0a814792b06c5f2c3
examples/boxplot.rb10064400998 Bytesda20d572923c174c55771555fc9afa7b3dd0d2d602553b4d4d8d78329f1e69b2
examples/chisquare_test.rb10064400792 Bytesb7576142c3c3a3aba295c706cb8b5d19c127ea72fe7f11b27a0c2aa7f47c33a7
examples/correlation_matrix.rb100644001.61 KBa88c9f6bfa6d1741b9ae1e39f009c1e25b4bfa536e1bc38374058f9b19076be3
examples/dataset.rb100644001.17 KB7368cac93f7167be9289273352ac6865ce711d1334d00c663848352f8f81f12d
examples/dominance_analysis.rb10064400721 Bytes63c7ef0d69fbc3490b11ee59e99b9329d3d29dd3c90e925b999647b1843bbbc8
examples/dominance_analysis_bootstrap.rb10064400904 Bytes12f72e08a74c2900a4232cbb149aa9496b069a0b0ea62147d2b66a00c5ed9a83
examples/histogram.rb10064400813 Bytes78193eccba151eafec6010d056827bf551114a1363628c7476bf9cd992950f1f
examples/icc.rb10064400557 Bytesd94e0a4b027437440a968736f7b0e9552d1b07bfc5bad5cf056d47d9611a8264
examples/levene.rb10064400792 Bytesac7aa1c9cfbb91b5ac7336228795d4e02e4e6ed7d3f4920a9548581d40564501
examples/multiple_regression.rb10064400506 Bytes2487643222bf99f395001564924ef16b0baa93f9949790eda779a85046d5906c
examples/multivariate_correlation.rb10064400964 Bytesbb534c2561847e5888c4efc7ae45015f93de670fb55fe9f91168efbbb019e16c
examples/parallel_analysis.rb100644001.1 KB43371b615bd270f877d5230c8ffced89b88304a4183ee8ae88d7846ab65ad4d0
examples/polychoric.rb100644001.4 KB2fe41e1bf80d74e9ad247fe19d58a20dc9479d1585bff914372913077be1d17a
examples/principal_axis.rb10064400769 Bytesa7b3e760f02dd12231eff1c9ad957d05a16ef97b6ef73cebcc61bb006908c6ed
examples/reliability.rb10064400778 Bytes9803347b7e3a4bb33ab10b75ca4c35b2fc79c53df05f82c6b3a95527fd94b9e1
examples/scatterplot.rb10064400691 Bytes59f1cb78cbd8b79a7444cce0eed5254a9bcb1c3197a983adfe2229f402917a71
examples/t_test.rb10064400536 Bytese87ef85802766fb1a5d32d866c2f8a56d74ef1892d174a7e44364be521c897d6
examples/tetrachoric.rb10064400261 Bytes25f8df1d883560bb25de9c703cafd2473d6b82a4c84f900bf1314264ae7503b3
examples/u_test.rb10064400526 Bytesf1ca3751a45406828ef37691fde1149678f7e42a804cfe680124901761772d2a
examples/vector.rb10064400638 Bytesfb168d36ca91fb97c9984ea404310312b849032f2c2d2d9da623781c757c1833
examples/velicer_map_test.rb10064400938 Bytes2d30ee372844b84a6f5116cddb23c3fb5449c554a9e1d64d9126fa382e04ae5b
grab_references.rb10075500452 Bytescf36dfe1bf7135cfb4d1ea9d50c7e9748cb5bfd251aa6b017cebed3b8f87b192
lib/spss.rb100644004.19 KB46b34b57a2766a49b9bdc327ba104841b92b3a1740387020ec7b7dd75fca504f
lib/statsample.rb100644007.78 KB346d953f826948289b10339a41cf1dd4f6cb654c966aae76dc68a0b976bd09b9
lib/statsample/analysis.rb100644003.22 KB21bfd9b27a17fc000ef0df5043ca0071dea3a769600fd532746f6b6818c70f98
lib/statsample/analysis/suite.rb100644002.24 KB373c5b3c617ccb159c8c5ea13ca9ac1888c1de6f105d334c54e26ad0e6618d33
lib/statsample/analysis/suitereportbuilder.rb10064400904 Bytesc4431110243da6a218ef0f37527ee723fa71f48963c6dfaabc2554a270cd20ef
lib/statsample/anova.rb10064400488 Bytesd44161f5b4ee53344ae8566b6f5249a0fe7d8be81c22780773f4fc8276ad8ea2
lib/statsample/anova/contrast.rb100644002.35 KB291a67eeb27538ee7db65d752fc37366c689cb5971acd292abb134ce9dec1957
lib/statsample/anova/oneway.rb100644006.27 KB6e31121687adf273a28ad2074456ea20dd04cde5b1d0100d05489febe29c4e01
lib/statsample/anova/twoway.rb100644007.61 KB45d0f63573cd44ffabf67b409158f518fe23d7f332a725830732fc5edbfe25fd
lib/statsample/bivariate.rb1006440013 KB99e4acda2eef80d5663f79c44cf841225c75a8cac8cbb9655f5fe30bbc461cca
lib/statsample/bivariate/pearson.rb100644001.59 KBa570172835cb1f7f2903244b64a5abaf69b09b6993d90302794e5ee260104b25
lib/statsample/codification.rb100644006.51 KB53200383805716bc09a8c7a0f56a684f03ea90d62c27fb33f4cfe78082506ee1
lib/statsample/converter/csv.rb10064400915 Bytes0bc632993d9b81c38612f148a4c4ddca64bae799f6e86a538eab82976da6f449
lib/statsample/converter/spss.rb100644001.23 KBfb9c534c524e20b069a4021a0a5e91ed5d7f56b76e27a3220a1aee925f9d67b1
lib/statsample/converters.rb100644005.92 KB577f61e0d83d18e6ed6232fa50f6fe8f02e634b1ca44246d9d1d24cc1e396655
lib/statsample/crosstab.rb100644005.42 KBa1547571a2309407064e75230533ee82f9398d4bbef2fcb166afcb9e994baa45
lib/statsample/daru.rb100644003.4 KBbd6932c4c829b6b2b14eabef45f920370b3b83911742eaf6d84cb73b4d6ff84d
lib/statsample/dataset.rb10064400198 Bytesc08d671233f4e2080a015f209772718cfa3dac67d4953215c0e18e438e2b803b
lib/statsample/dominanceanalysis.rb1006440013.6 KBcf7ed38f3f6c358a19d235013f816dcf92643b44fc1df37bf5a86c3875b094eb
lib/statsample/dominanceanalysis/bootstrap.rb1006440010 KB4c6b6ae6f15e78303e45d5742bf146a3c1f9d814570b5ff6eba000ee80a99e72
lib/statsample/factor.rb100644003.3 KBa6b57b6b005b0dce30e799b400f81e0a2059709cfba0472bb6a6d57b8d06bc7b
lib/statsample/factor/map.rb100644004.67 KB42c93afa58391a4dbbda42f87679d911f14c44dbd4a0f72edf6a0fb905bc9569
lib/statsample/factor/parallelanalysis.rb100644007.58 KB6a3687b4aa91df3fd349adedaff94bc00032d7aa00b99b5b82d16d0913e2ceb4
lib/statsample/factor/pca.rb100644007.53 KBd81d47fdfe994521ffe4a2f872bc97243461498ec87c5eb8dec6bcb10ad56b6a
lib/statsample/factor/principalaxis.rb100644007.08 KB98c25caa855526fce5285c90317e94d20a654be19d38cbe52ee6f5177f5a264f
lib/statsample/factor/rotation.rb100644005.74 KB426157e426c2c95f4a2889febe37188e2aef9b45547def7fafe646e396fda172
lib/statsample/graph.rb10064400297 Bytes88a78b6ea2f1798faebeb73b82bfd5179ffb3cc8395fa2189570149906adb3c8
lib/statsample/graph/boxplot.rb100644007.92 KB0eb4517034a468462ded12d27cf3eb2b96b2871d5818f167d8976250ebc99e39
lib/statsample/graph/histogram.rb100644006.51 KB9dfc9003cf7fa2fe50d3eee6b8d9bb8e2c58d795c043fc596f4686922e715ad3
lib/statsample/graph/scatterplot.rb100644006.52 KB90b71d483334ecf1fd9a2d3e5c140a29b8dde4978a6454b98bae614e6935018a
lib/statsample/histogram.rb100644004.54 KBa93f52b28f3bc382e75c099c0062931a4351a1f184de05e7e36f2466ad4d4f56
lib/statsample/matrix.rb100644006.97 KB9ec9380cfd660f35999ee1fa0a57ca53a0b15b64527db6f4c45cbd9d95705da9
lib/statsample/multiset.rb100644008.47 KB9093bd7fef66bd5a357fcf4f638dd71816dfd9a04f18cd5c9a1bbce5b875c699
lib/statsample/regression.rb100644002.42 KB07b0df472506396a2067d23f427ac070c129546d3c17663588bdc516d6317c33
lib/statsample/regression/multiple.rb100644003.16 KB139385d92e604485f540aad1379ce5e347620a11910905b632944f0c52a95dad
lib/statsample/regression/multiple/alglibengine.rb100644002.73 KB6b0be59607449a37550ad4f5bed42b0daba96e00c14ec5747d7923b37d2dbb38
lib/statsample/regression/multiple/baseengine.rb100644007.44 KBd0dd4947b08d7d52fc2d11c4004675fe214f132f36713ffa8ed79464b91b62bf
lib/statsample/regression/multiple/gslengine.rb100644003.95 KB4303189484bc6bf03be1ef17117b24c5edd95cc162fe44580be95f14b9db5bf6
lib/statsample/regression/multiple/matrixengine.rb100644005.66 KB1261b3485b7b4e04bf9bf281e4664b4db876b861a284063912724847c1c324e2
lib/statsample/regression/multiple/rubyengine.rb100644002.42 KB4bc91d4a7ee5a51bc4a051aa980f2ddc49f6caeab0a21070a316af6dadcf3a4c
lib/statsample/regression/simple.rb100644003.3 KB0c54a44e9da2ef45f00a0b1d191915067e70e29bab2598198e8d9c4e15cbbad4
lib/statsample/reliability.rb100644004.66 KB8ff6e3e639cfa9975234ef0b4ede4fdb7ad07fd84862b84a03cf2d7345b24865
lib/statsample/reliability/icc.rb1006440011.8 KBde1d573045f26ff77669ea30bc722d0f781b12a918a2ceac96a6d482fbf94426
lib/statsample/reliability/multiscaleanalysis.rb100644006.23 KB0a6576d0ba6d8db2135a2151883f472de015a76c212dc7d2373eb05ae6bc80e6
lib/statsample/reliability/scaleanalysis.rb100644008.55 KB7757530dbab09b6b03a83c0f4db39f8cae0cbeb806fa012270325b63732c4d53
lib/statsample/reliability/skillscaleanalysis.rb100644003.48 KB45f51ad0604faf8bef3accb26352e0fd27f59fc4a6c1b4c2f7c67d6aab3d54cc
lib/statsample/resample.rb10064400346 Bytes790278ffc98fe55464558abd5793bac5594ceb0de1aad30aea421fb0d7f87940
lib/statsample/shorthand.rb100644003.12 KB0b04acadb2468bbf9768a2c63a78130ef752921701b0566a19712cb7f6134332
lib/statsample/srs.rb100644005.89 KB5960a6bbb76d93d985628d9b95335c9978d3f94509c48d4a8be521c47bf7fe27
lib/statsample/test.rb100644002.81 KB67716650c23c9530fc9e2658ba90b2c09aa515685db6b6fc082e3c32b98b8ff5
lib/statsample/test/bartlettsphericity.rb100644001.47 KB6967ac65886923cf0d41e0e2c73aeb84fdf9b0bc9535f3f6eea70f18e106cca3
lib/statsample/test/chisquare.rb100644001.87 KB47e8190728f1de12faf38a11d6993298eaec35364d5e5705924fc328dff097aa
lib/statsample/test/f.rb100644001.87 KB6326475965bda603e9eb70930f256e66686cad8db0358e1fabfd77fd152025b6
lib/statsample/test/kolmogorovsmirnov.rb100644001.71 KB221636e45d89c6bb7fec453e2bddab2698e705d13bef71269a75bac9a9baf72a
lib/statsample/test/levene.rb100644002.85 KB0fcc8cdd150259125eab71d02abff4641e636bc5301b6ddf1e45dca1fa4ba7aa
lib/statsample/test/t.rb1006440011.3 KB518f513f0ec0556de4c7ca7fe3a97fb6565fa82dfade10cb7e13b3b7a240ea58
lib/statsample/test/umannwhitney.rb100644006.45 KBc77f6b60703e41559bfaf1b198f5f30acacb72d6606fe0d5157443561c155574
lib/statsample/test/wilcoxonsignedrank.rb100644002.91 KB63d9277646d1448975a5f63bfdfe5c9e15ac7ae6573e56e7462d51e926ecca89
lib/statsample/vector.rb10064400354 Bytes75ee98f447a7a9b45d62cd77eed2381d3083bd38c08401fc32e4889c030ad6d0
lib/statsample/version.rb1006440042 Bytes33aa2229f9ac7a20551cc57082558bdccb2bcc04c401995a9fcd20673c04371c
po/es/statsample.mo1006440012.7 KB626c7abe772f91dc5c377fe3d2879351cb2d7c1aa37818e93bb1aec5edc6d359
po/es/statsample.po1006440022.8 KBffa3bc64fc81e3149ae26d1d666381ce2118383d11b7331f85a3c92c6ce3dc29
po/statsample.pot1006440019.2 KBde95a570775ac6caa57195532dfe8556bf963c9ba5bfc7abb8a2b3d0ae77d263
references.txt100644002.67 KBf81d88e6d4dd622924b9915e690f39731bb2e38252a7f8d35cfd59264c9b2007
statsample.gemspec100644003.34 KB6b850198961955ec7c1caddb3b2401767862e6512beeaf553f2474ee7a1056d1
test/fixtures/bank2.dat1006440017.8 KBbde6b7168c194990d30df64ec808acada26bd2b1855b70827a03296c88670001
test/fixtures/correlation_matrix.rb10064400738 Bytesbe204e95cc48d8a1c3e51c153e6257ecaadb23a57468c4bf738558fe64d944ca
test/fixtures/hartman_23.matrix10064400540 Bytes1d51f348d4d7e20e251776e06a72743dc6d1b2d6e33e0ee77ba331db1bd6fef7
test/fixtures/stock_data.csv100644002.87 KBcd0e72c0d6d374c27ae26aaa09eaff2b1b73a891adf6cdfa2a2b7d2a64438ec6
test/fixtures/tetmat_matrix.txt10064400310 Bytesa5303698024357e86f2b08499b1e4fdab6d709d6f1971966741f3b46277a2a9d
test/fixtures/tetmat_test.txt1006440011.7 KB659fb6036565cac75712e530af403c7aa18cb954f6623b1bdff0a6fec877b2e1
test/helpers_tests.rb100644002.32 KBec2eea7e052831eeef070f5a89ba834860485965a7b7a71a43665c4846df9121
test/test_analysis.rb100644005.85 KBb05dddf77ea728a7dcd932328c5b54b37fbee4fa607399a0c8b3df00559f6cfb
test/test_anova_contrast.rb100644001.53 KB31da7354e75d5ec93bf71dbe5980b4c20d44aeb893febb1b676c91a4f792d8f3
test/test_anovaoneway.rb10064400894 Bytesf225e8597c5312683442f3d18fe64c00faf6262a72e729b4ee10a22e56102d10
test/test_anovatwoway.rb100644001.31 KBa53268a86c380e64fe2b7fe68ac1a51d95d33588f49677c3621521adde483e64
test/test_anovatwowaywithdataset.rb100644001.95 KBeb85f5c80888d3504d9f8a370248453d03e45daabb45c471354e012ed6f08637
test/test_anovawithvectors.rb100644003.91 KBf33ff9e2cc9c4cb9e3ff74f6daa2b030d29338ee0840ee766029964160b3f42c
test/test_awesome_print_bug.rb10064400389 Bytesea40eeded82569e2c39f7de259be635ee3f2b6d56ab18b1a26c07bb67ca72a90
test/test_bartlettsphericity.rb10064400985 Bytes04684b903b48a7bd08a180ee54289c775db3051c6b87f94dc99511420898c102
test/test_bivariate.rb100644008.03 KB479a319ae6aaef5a4be2b8e6cafc9c2640dc5b4be78755c78feabd80f0fb3ab3
test/test_codification.rb100644003.22 KBba7a62e3ba018050f60764c04dcad33d33860ed4a6eae26cc7de1f23a9dad5d9
test/test_crosstab.rb100644002.28 KB7970ccff212cc05f124c3d41af6baf24959587ef8ebbe470139ea931a07fbac2
test/test_dominance_analysis.rb100644001.86 KB4b81ed47b6cbabcc095b02a4b76a39fb693fcdf0feb628c6f9265a990919b7a9
test/test_factor.rb100644008.2 KB164b2a446a3c6b450a73e56b118654e026b8f61a1613a7be8fe38b6d23921a51
test/test_factor_map.rb100644001.3 KBe16dc4db4f8ee9a7d7fd4078e0f8c7749e6ccae9c03c6ef7ceadbaadaba29aab
test/test_factor_pa.rb100644001.98 KBc748c1eceac033631781aa35e384c2cf7507f8cc80434540e177551176c2f360
test/test_ggobi.rb100644001.31 KB5dc9c925dac7dbe721e3666afb2851f93b2bf9ae98e57f8734a2272f7fc60d89
test/test_gsl.rb10064400550 Bytesa87b919187eb030ff2cfa71810fb1f7b4a070a7e56c882a0eb2e4001f22a775b
test/test_histogram.rb100644003.67 KBb2ebc204b86c351912b9b8c32858d53f01c4c7b5c52788b2c0f687b53497c74f
test/test_matrix.rb100644001.57 KB650e81d60e85424c310d68da3db494d67ace3495942c12cc0e72dfbe91701b80
test/test_multiset.rb100644006.46 KB494fd00ebb3972e18ae1434817791cfe67fe63d27d6ef09f647281b415a0d323
test/test_regression.rb100644009.82 KBb87d397761f80e66e59a91d0d325e54295bc878bd0ac643280a9e40d6dab8749
test/test_reliability.rb100644009.57 KB019e1cff2d71d74f43df3dd69ffea54f6889fc282774fd630362abbfbeffc279
test/test_reliability_icc.rb100644006.68 KBe787b97b9e3e7bb8eb5860c0614744c528db6d44fa2ef508dc27ebea31f469d1
test/test_reliability_skillscale.rb100644002.98 KBb207f29e82e82cbc32fcdfd8ebd766685d37bdd11354bf45ef4b684ac7ba6f6c
test/test_resample.rb10064400584 Bytescf8494d605aa986f0cccf9d84b35061e1fbfa0405a5081fbdbcfbd0c9b31d4ce
test/test_srs.rb10064400391 Bytescc2ce740ab63a4322fb90f6a5e0a43fc845f89c07267d6e30d815f87f2ef4427
test/test_statistics.rb100644002.33 KB9182807108e27563d6f53a65edeb105518d5cbf90b363418613bce4b8d667156
test/test_stest.rb100644002.22 KB1a089580f4b8c2c97ed11b94913b4b99e029dabb2230ee852575dfe748e8bd81
test/test_stratified.rb10064400432 Bytes01921f536fa3bec7339dfcc8df03286ba23954537e11fa9d4ae97ebdce40328e
test/test_test_f.rb10064400932 Bytes63c857effc275428bdefadec6f0c0b40efa0e27754f000c759d5f3c38abf8400
test/test_test_kolmogorovsmirnov.rb100644001.45 KB15a5bde88ee3c5af1328c2659f080741bb0a403ab231f477ecd1b4183e033a57
test/test_test_t.rb100644002.56 KBd25187af6543fff933333f1c05830277faa4967e8a57e40f95c3c7e90c473e11
test/test_umannwhitney.rb10064400969 Bytes315768a1fc8b4971882ae6b694c97bf6e60176ea330993ab71019b64e917ddaf
test/test_vector.rb10064400362 Bytes60492fa5dd79afab5b013cedc48f20d2a65e81a50e8105f9176e869eb5adbd79
test/test_wilcoxonsignedrank.rb100644002.25 KBd76eb629b40f95c9afb60fbaf6587cbd806c791d99b994868d1931e85902f5eb
.gitignore10064400152 Bytes260dd0c1d51365beb47237aece54dcb7f5a475b28676f63633192d772102e68a
.travis.yml10064400377 Bytes34556d3e1977f860fc30b0726c6de2d4a7669420a54a49de0250029d543518b8
CONTRIBUTING.md10064400614 Bytes630336add7eded374cf3ce9fa5bb3092e6221fdf42b7f3295e260b5e1934a265
Gemfile1006440042 Bytesa94a451a4f86dc159922d88cc4472cb6067ca5d6948108bdef804eff129e71dc
History.txt1006440022.4 KBfa1833de655457b076599052e7469439f0fc22990e65f9b857091b31b597a342
LICENSE.txt100644001.46 KBb6598caa7d045bd7cdf68d3875627e101577fd20ea801e52cc842f3b22278948
README.md1006440010.7 KB5191bfa1aa4d1e4995847d3373a999bfd86d93eb9a8ed13e4d6d905b54222aa5
Rakefile10064400950 Bytes0dbf3e2b2581d9c7d5017af8c7a5b254accaa1d794832d1ee16e285695c87fb8
benchmarks/correlation_matrix_15_variables.rb10064400917 Bytes036685a51538dbc0072a56b090be0c0fb6facffb1119942954bc9f846eca2f37
benchmarks/correlation_matrix_5_variables.rb10064400917 Bytes73e4e365ec339a54ed1b6272cc57546caebb585c062792a5b4790f7e8feb6442
benchmarks/correlation_matrix_methods/correlation_matrix.ds100644003.65 KBa6d333805fe3a58acc3562f6392ce3c239965040065f82c56bd7c744556c984a
benchmarks/correlation_matrix_methods/correlation_matrix.html100644003.97 KB6af572d5c068955156a387d1caf9f16040a1d17863db151c1ccfa7c331ff4f95
benchmarks/correlation_matrix_methods/correlation_matrix.rb100644002.28 KB82eeab9410f825a149856500ccafc73a3d38035e273fa67d5ef3f08af57f51cd
benchmarks/correlation_matrix_methods/correlation_matrix.xls1006440010 KBff85a06f3792ef339450d577b26ac422d711c1c43b79cb3d4017dfbc2f0df5e4
benchmarks/correlation_matrix_methods/correlation_matrix_gsl_ruby.ods1006440018.7 KB0526da1cdbf748c12b6e627e1316d2d8095538fb768c896832119344384dd4be