Lingling Wen
2020-Dec-12 21:53 UTC
[R] multiple t-test with different species and treatments
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]]
Bert Gunter
2020-Dec-13 23:19 UTC
[R] multiple t-test with different species and treatments
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 <wenlingling912 at 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 at 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]]