Computes the two-sample t-Test for each feature.
It internally calls functions from thematrixTests
package for the various tests.
Arguments
- x
matrixordata.frame.- g
a vector or factor object giving the group for the corresponding elements of
x.- null
numerical value or numeric vector of length
nrow(x). The true values of the difference in means between the two groups of observations for each row.- alternative
character string or vector of length
nrow(x). The alternative hypothesis for each row ofx. Values must be one of"two.sided"(default),"greater"or"less".- conf.level
numerical value or numeric vector of length
nrow(x). The confidence levels of the intervals. All values must be in the range of \([0:1]\) orNA.- var
character string indicating whether to treat the two variances as being unequal (default) or equal. If
var = "unequal", the Welch approximation to the degrees of freedom is used.- paired
logical, whether to compute a paired t-test.
Value
A list containing two elements:
- statistic
A numeric vector, the values of the test statistic
- significance
A numeric vector, the p-values of the selected test
Examples
#Seed
set.seed(1010)
#Data
x = matrix(rnorm(100 * 20), 100, 20)
g = c(rep(0,10),rep(1,10))
#Compute two-sample t-test
rowTwoSampleT(x = x, g = g, var = "equal")
#> $statistic
#> [1] 0.102676176 -1.255674441 1.009402036 -1.237770832 3.251202948
#> [6] 0.586284859 0.520225291 -0.141475320 -0.948511498 0.674698017
#> [11] -1.022351747 -2.496378631 -0.655968326 -1.575800588 1.057233097
#> [16] -0.530750639 0.409757861 -1.607537177 0.279997032 0.128966494
#> [21] -0.287075784 2.994178224 -2.203390428 -0.871274583 -0.334204444
#> [26] 0.409025903 0.566782238 -0.638101641 -1.184092693 -1.679836826
#> [31] -0.721286836 3.615202539 1.802000892 -0.196559583 -1.137994612
#> [36] 1.077868675 -0.314362822 -0.799890234 -0.656369393 -1.253169140
#> [41] -0.005552096 -0.279588844 -1.374669767 0.400438416 1.088915724
#> [46] -0.548711279 1.958619444 1.092793480 1.331147893 3.312522804
#> [51] 2.301033016 1.083756592 -1.537450818 0.887750585 1.350977367
#> [56] -2.897789078 0.274498666 0.143336030 1.613243068 -1.563316698
#> [61] 0.667419180 -2.875775296 0.564010203 0.057365908 -0.199990851
#> [66] -1.403634965 -1.003047155 -1.000690073 -1.196339943 -0.184978275
#> [71] -0.083562698 -1.919106312 -0.378104381 -0.241135913 -0.351667434
#> [76] -2.058370404 -0.039747824 1.738751100 -0.285289949 0.855519118
#> [81] -0.598599076 -0.894315159 0.110935680 -0.336404112 0.785460995
#> [86] -0.579353773 1.393753778 -0.044333375 0.318441009 -1.209110014
#> [91] 1.065621129 2.374783231 -1.090742397 0.988782525 1.463761477
#> [96] 0.574539802 -0.839251626 -1.416406351 1.119889351 -1.858972037
#>
#> $significance
#> [1] 0.919355225 0.225289846 0.326159210 0.231703997 0.004433645 0.564964558
#> [7] 0.609246253 0.889065817 0.355430883 0.508441700 0.320159127 0.022476540
#> [13] 0.520142129 0.132484045 0.304388448 0.602079323 0.686818897 0.125335676
#> [19] 0.782672122 0.898814276 0.777332860 0.007783309 0.040831705 0.395076719
#> [25] 0.742087679 0.687346319 0.577862105 0.531442454 0.251777489 0.110261665
#> [31] 0.479997783 0.001979117 0.088318073 0.846374432 0.270043886 0.295326063
#> [37] 0.756859983 0.434204498 0.519890012 0.226179035 0.995631162 0.782980346
#> [43] 0.186106877 0.693546429 0.290555909 0.589945650 0.065837082 0.288894885
#> [49] 0.199755766 0.003872737 0.033557907 0.292776600 0.141575790 0.386383871
#> [55] 0.193441522 0.009591080 0.786827048 0.887617230 0.124085657 0.135388348
#> [61] 0.512970932 0.010057629 0.579707462 0.954885744 0.843729805 0.177444738
#> [67] 0.329132501 0.330240154 0.247085125 0.855314345 0.934326441 0.070968065
#> [73] 0.709775111 0.812175187 0.729170841 0.054330083 0.968731723 0.099152986
#> [79] 0.778678790 0.403508491 0.556898887 0.382955899 0.912894965 0.740456211
#> [85] 0.442400255 0.569531017 0.180362442 0.965126789 0.753815627 0.242263524
#> [91] 0.300680824 0.028881256 0.289772593 0.335875804 0.160504432 0.572713854
#> [97] 0.412336066 0.173730243 0.277482043 0.079459503
#>
#Compute two-sample t-test with Welch approximation
rowTwoSampleT(x = x, g = g)
#> $statistic
#> [1] 0.102676176 -1.255674441 1.009402036 -1.237770832 3.251202948
#> [6] 0.586284859 0.520225291 -0.141475320 -0.948511498 0.674698017
#> [11] -1.022351747 -2.496378631 -0.655968326 -1.575800588 1.057233097
#> [16] -0.530750639 0.409757861 -1.607537177 0.279997032 0.128966494
#> [21] -0.287075784 2.994178224 -2.203390428 -0.871274583 -0.334204444
#> [26] 0.409025903 0.566782238 -0.638101641 -1.184092693 -1.679836826
#> [31] -0.721286836 3.615202539 1.802000892 -0.196559583 -1.137994612
#> [36] 1.077868675 -0.314362822 -0.799890234 -0.656369393 -1.253169140
#> [41] -0.005552096 -0.279588844 -1.374669767 0.400438416 1.088915724
#> [46] -0.548711279 1.958619444 1.092793480 1.331147893 3.312522804
#> [51] 2.301033016 1.083756592 -1.537450818 0.887750585 1.350977367
#> [56] -2.897789078 0.274498666 0.143336030 1.613243068 -1.563316698
#> [61] 0.667419180 -2.875775296 0.564010203 0.057365908 -0.199990851
#> [66] -1.403634965 -1.003047155 -1.000690073 -1.196339943 -0.184978275
#> [71] -0.083562698 -1.919106312 -0.378104381 -0.241135913 -0.351667434
#> [76] -2.058370404 -0.039747824 1.738751100 -0.285289949 0.855519118
#> [81] -0.598599076 -0.894315159 0.110935680 -0.336404112 0.785460995
#> [86] -0.579353773 1.393753778 -0.044333375 0.318441009 -1.209110014
#> [91] 1.065621129 2.374783231 -1.090742397 0.988782525 1.463761477
#> [96] 0.574539802 -0.839251626 -1.416406351 1.119889351 -1.858972037
#>
#> $significance
#> [1] 0.919355565 0.225498303 0.327926982 0.231704014 0.004433713 0.565744962
#> [7] 0.609371656 0.889073643 0.356900302 0.508976873 0.323487234 0.023097064
#> [13] 0.521593493 0.132936995 0.312570107 0.602766300 0.687936658 0.125347359
#> [19] 0.782785601 0.898943920 0.777342794 0.007790077 0.040859008 0.395393049
#> [25] 0.742424572 0.687398493 0.580358313 0.531442474 0.258087520 0.110322655
#> [31] 0.480034043 0.002805636 0.089170201 0.846517832 0.270634228 0.295782644
#> [37] 0.756969288 0.434351225 0.520192629 0.226179284 0.995631781 0.783016396
#> [43] 0.186139782 0.693717434 0.294759989 0.590424914 0.067481757 0.290641896
#> [49] 0.208323530 0.003873903 0.034777790 0.292794911 0.141589501 0.386812811
#> [55] 0.193449744 0.012225435 0.786957165 0.887722484 0.124105028 0.142943388
#> [61] 0.512989334 0.010446752 0.579972511 0.954937027 0.844245059 0.177492964
#> [67] 0.329215192 0.330461027 0.248591623 0.855396423 0.934435822 0.071772789
#> [73] 0.709860021 0.812775539 0.729180470 0.054588769 0.968847134 0.099205344
#> [79] 0.778712892 0.403566434 0.556899611 0.383009711 0.913604691 0.740810191
#> [85] 0.444296395 0.569579666 0.181500232 0.965132689 0.753855932 0.250390848
#> [91] 0.302559049 0.029224795 0.292843365 0.336112398 0.160515295 0.572784792
#> [97] 0.414641418 0.174739914 0.277710893 0.080399378
#>
#Compute two-sample paired t-test
rowTwoSampleT(x = x, g = g, paired = TRUE)
#> $statistic
#> [1] 0.105846642 -1.226066457 0.933934421 -1.188231761 3.464396651
#> [6] 0.842077479 1.144499292 -0.173302153 -0.806080402 0.558394598
#> [11] -0.985378713 -2.713690594 -0.653815335 -1.654687005 1.031975003
#> [16] -0.494881934 0.449574782 -1.803658453 0.215272438 0.139165914
#> [21] -0.356861393 3.426546800 -2.032570216 -1.047425674 -0.579835348
#> [26] 0.616875137 0.575104052 -0.477912629 -1.320900894 -1.919637167
#> [31] -0.704886562 4.363388296 2.098441892 -0.314608823 -1.731951723
#> [36] 1.018514762 -0.296800214 -0.915867468 -1.483291946 -0.999254476
#> [41] -0.005859077 -0.279279608 -1.187075604 0.344343077 0.938509422
#> [46] -0.529167965 1.942391536 1.240516329 1.168882007 3.679833178
#> [51] 2.225412187 1.375351762 -1.325044174 0.874555960 1.228400760
#> [56] -2.935832351 0.290564498 0.135850613 1.497595462 -1.522978283
#> [61] 0.894265416 -2.442443525 0.430641608 0.057264512 -0.179048797
#> [66] -1.399424743 -0.858911640 -2.472199259 -1.161983005 -0.187989620
#> [71] -0.093156228 -2.679082345 -0.308042742 -0.236298424 -0.358293729
#> [76] -1.906006842 -0.039285775 1.956415638 -0.237303229 1.009791671
#> [81] -0.706780344 -0.920758455 0.113955442 -0.274247407 0.648897152
#> [86] -0.502341383 1.162301553 -0.050237610 0.285373393 -1.281896029
#> [91] 1.014856566 2.065955751 -0.986794564 1.038803611 1.457049907
#> [96] 0.800263487 -0.790084646 -1.367524716 1.205469111 -1.789471257
#>
#> $significance
#> [1] 0.918025662 0.251285313 0.374715471 0.265150997 0.007111320 0.421556589
#> [7] 0.281941054 0.866248992 0.440974411 0.590194360 0.350185799 0.023852928
#> [13] 0.529579909 0.132373864 0.329017211 0.632539543 0.663648866 0.104782066
#> [19] 0.834354129 0.892383391 0.729419519 0.007549351 0.072632160 0.322216585
#> [25] 0.576251176 0.552600390 0.579312274 0.644106442 0.219132110 0.087107106
#> [31] 0.498715006 0.001814482 0.065283135 0.760229868 0.117325052 0.335030238
#> [37] 0.773354682 0.383620146 0.172147130 0.343778169 0.995452976 0.786341966
#> [43] 0.265584277 0.738497450 0.372484537 0.609490560 0.083986374 0.246148506
#> [49] 0.272477973 0.005076784 0.053092953 0.202284235 0.217809707 0.404548850
#> [55] 0.250449590 0.016598828 0.777968661 0.894929437 0.168463117 0.162096094
#> [61] 0.394465405 0.037215173 0.676858202 0.955585711 0.861865313 0.195195361
#> [67] 0.412680398 0.035442158 0.275129352 0.855055017 0.927820245 0.025243991
#> [73] 0.765059856 0.818491190 0.728383631 0.089028641 0.969520207 0.082116053
#> [79] 0.817735236 0.338971204 0.497592376 0.381194616 0.911774743 0.790085272
#> [85] 0.532611568 0.627487859 0.275006476 0.961030320 0.781816739 0.231914966
#> [91] 0.336678726 0.068813325 0.349527929 0.325998229 0.179089885 0.444167975
#> [97] 0.449793471 0.204636031 0.258758723 0.107160561
#>