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Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sun, Dec 13, 2020 at 2:33 PM Lingling Wen <wenlingling...@gmail.com> wrote: > Dear R users, > I would like to ask for help with the code of multiple t-test. I have a > dataset as followed: > Species Treatment var1 var2 var2 var4 var5 var6 > Blue D 0.022620093 0.125079631 0.04522571 0.010105835 0.013418019 > 1.455646741 > Blue D 0.02117295 0.073544277 0.0311234 0.008742305 0.03261776 0.982196898 > Blue D 0.021896521 0.112681274 0.05664344 0.013512548 0.032380618 > 1.777003683 > Green D 0.032749726 0.087705198 0.13699174 0.009902168 0.083534492 > 1.553758965 > Green D 0.036468693 0.115829755 0.10941521 0.012139481 0.206929915 > 2.610557732 > Green D 0.043594022 0.062832712 0.12232853 0.015045559 0.111687593 > 1.99552401 > Orange D 0.022617656 0.11465489 0.02882994 0.013304181 0.018175693 > 1.72075866 > Orange D 0.026211773 0.099294867 0.03387876 0.013408254 0.02971197 > 2.184955376 > Orange D 0.032205662 0.057267709 0.03883165 0.007744362 0.026553323 > 1.27255601 > White D 0.041135469 0.085531343 0.06921425 0.011496168 0.010196895 > 0.573205411 > White D 0.045142458 0.111429194 0.03546278 0.009196729 0.009968818 > 0.748529991 > White D 0.031471913 0.050175149 0.05233851 0.011447205 0.010424973 > 0.92385457 > Blue W 0.022222296 0.112334911 0.04080824 0.016064488 0.031047157 > 0.885523847 > Blue W 0.040238733 0.121941307 0.04239768 0.010310538 0.020106944 > 0.751643349 > Blue W 0.031508947 0.131547704 0.05212774 0.015720985 0.013932284 > 0.881234886 > Green W 0.021070032 0.121018603 0.38202466 0.022152283 0.038479532 > 0.662605036 > Green W 0.026562365 0.108269047 0.44028708 0.019344875 0.090798566 > 0.746330971 > Green W 0.02926478 0.084080729 0.32376224 0.012609717 0.097744041 > 0.969301308 > Orange W 0.02456562 0.134535891 0.09135624 0.007701481 0.017310058 > 0.966322354 > Orange W 0.032095541 0.149347595 0.06048885 0.010332579 0.017457175 > 0.561561725 > Orange W 0.039120696 0.141941743 0.02962146 0.005889924 0.017162941 > 0.502529091 > White W 0.033903057 0.061460583 0.0492955 0.012457767 0.029929334 > 0.70986421 > White W 0.033630233 0.115782233 0.02675399 0.021391535 0.023774961 > 1.176680075 > White W 0.030638581 0.065074112 0.03678494 0.014781912 0.03529703 > 0.805500558 > I wanted to perform a t-test between the treatment "D" and "W" of each > species for all of the variables (var1, var2,...). Could anyone suggest > the packages or code for this analysis? > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.