1. Please read and follow the posting guide linked below. 2. No html -- this is a plain text list. 3. Use ?dput to provide us your data so that we don't have to convert it for you. 4. We expect you to first make an effort to do your own coding. See ?t.test, which you could also have found yourself by a web search (rseek.org is a reasonable place to search from for R-related stuff, though I have usually found that a plain google search does the job). 5. Is this homework? -- this list has a no homework policy (see the posting guide).
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.
