similar to: Question about interpretation of paired t-tests

Dear all; A very basic question. I have the following data: ************************************************************************************ A <- 1/1000*c(347,328,129,122,18,57,105,188,57,257,53,108,336,163, 62,112,334,249,45,244,211,175,174,26,375,346,153,32, 89,32,358,202,123,131,88,36,30,67,96,135,219,122, 89,117,86,169,179,54,48,40,54,568,664,277,91,290,

Hi folks, I am working with repeated measures data and I ran into issues where the paired t-test results did not match those obtained by employing glht() contrasts on a lme model. While the lme model itself appears to be fine, there seems to be some discrepancy with using glht() on the lme model (unless I am missing something here). I was wondering if someone could help identify the issue. On

Hello. How can I compute the Bootstrap p-Value for a one- and two sided test, when I have a bootstrap sample of a statistic of 1000 for example? My hypothesis are for example: 1. Two-Sided: H0: mean=0 vs. H1: mean!=0 2. One Sided: H0: mean>=0 vs. H1: mean<0 I hope you can help me Thanks in advance Regards, Andreas

Hi Users, This is regarding the paired t-test. I have 5 variables (say) Data$v1,Data$v2,Data$v3,Data$v4,Data$v5 in my data frame. Now, I need to perform a paired t-test on all the possible 10 pairs.How do I set up the pairs table directly and pass those variables in to t-test. Thanks in advance, Pratap --------------------------------- Now you can chat without

There's a funny inconsistency in how t.test handles paired=T or paired=F. If x and y parameters are lists, paired=F works, but paired=T doesn't. > lg=read.csv("my.csv") > a = subset(lg, condition=="a")["score"] > b = subset(lg, condition=="b")["score"] > t.test(a,b) > t.test(a,b, paired=TRUE) Error in `[.data.frame`(y, yok)

Hi, Assuming that your dataset is similar to the one below: set.seed(25) dat1<- data.frame(Algae.Mass=sample(40:50,10,replace=TRUE),Seagrass.Mass=sample(30:70,10,replace=TRUE),Terrestrial.Mass=sample(80:100,10,replace=TRUE),Other.Mass=sample(40:60,10,replace=TRUE),Site.X.Treatment=rep(c("ALA1A","ALA1U"),each=5),stringsAsFactors=FALSE) library(reshape2)

This error keeps appearing when i perform a paired t-test in R Error in t.test.default(payoff, paired = T) : 'y' is missing for paired test This is the method i have used > read.table("MeanPayoff.txt",header=T) Open Closed1 47.50000 42.37502 49.25000 50.00003 50.00000 49.80004 33.50000 20.00005 34.75000 33.88006 35.50000 20.50007 33.35000 12.87508 50.00000

Hi all, In the next release of R (4.4) the option to obtain a paired t.test with the formula interface for "long" data has been removed: t.test(x ~ group, paired = TRUE) # now results in an error. Exploring how one might obtain a paired t.test, there seems to be some inconsistency between the formula and default interfaces as well as within the formula interface. ``` extra.1 <-

I have been trying to run this analysis and finally want to ask for help. I am trying to run a paired t-test in which I have 19 subjects who have reaction times for 5 different conditions. The data frame has 114 rows total (6 rows for each subject representing six average reaction times by condition). Is there a way to run all paired t-tests where a paired t-test is run for every possible

Dear R Core, pairwise.wilcox.test does not handle "paired = TRUE" correctly; e.g. set.seed(13) x <- rnorm(20) g <- c(rep(1, 10), rep(2, 10)) wilcox.test(x ~ g)$p.value # 0.075 pairwise.wilcox.test(x, g)$p.value # 0.075, o.k wilcox.test(x ~ g, paired = TRUE)$p.value # 0.105 pairwise.wilcox.test(x, g, paired = TRUE)$p.value # 0.075, wrong The line wilcox.test(xi, xj,

Hi R users, Could anyone let me know how to export a paired t-test output table (see below) to an excel file? Jason, with(score2,pairwise.t.test(values,ind, + p.adjust.method="holm", paired=T)) Pairwise comparisons using paired t tests data: values and ind test1 test2 test3 test4 test5 test6 test1 1.0000 - - -

Dear List, I am new to R and find it very powerful. I would like to compute the permutational p-value for paired data using Kolmogorov-Smirnov, but the built-in ks.test does not have this option, unlike the t.test which has a paired=TRUE flag. Has someone written a library or a routine that does this? Alternatively, if someone could show me how to do pair-wise permutations in R, then I can

Hi all: If there are two numeric variable:x,y, and I can get paired scatter plot by function "pairs".But if x and y are character, and I want to get paired mosaic plot,which function should be used then? Many thanks! My best. -- QQ: 1733768559 [[alternative HTML version deleted]]

Hi, Im an honours student at Monash University. I'm trying to analyse some data for my project, which involved 2 treatments. My subjects were exposed to both treatments, and i gave them 60 minutes to perform a certain behaviour. 3 of my subjects performed the behaviour in one treatment but not the other. Therefore, i need to do a survival analysis using paired data. Im little confused about

Hi R-help, I am trying to use 'samr' for 10 pre and post paired samples to test whether post is different from pre (i.e., the location shift for the delta of (post-pre)). However, I got an error message saying > samr.obj<-samr(d, resp.type="Two class paired", nperms=100, random.seed=100) perm= 1 Error in !logged2 : invalid argument type Does anyone know what this

Does anyone know of an R-function or method to compare two C-statistics (Harrells's C - rcorr.cens) obtained from 2 different models in partially paired datasets (i.e. some similar and some different cases), with one continuous independent variable in each separate model? (in a survival analysis context)? I have noticed that the rcorrp.cens function can be used for paired data. Thanks

Hello List, I'm trying to do a paired t-test, and I'm wondering if it's consistent with equations. I have a dataset that has a response and two treatments (here's an example): ID trt order resp 17 1 0 1 0.0037513592 18 2 0 1 0.0118723051 19 4 0 1 0.0002610251 20 5 0 1 -0.0077951450 21 6 0 1 0.0022339952 22 7 0 2

Dear: I have a paired equation below. Can I solve (x,y) using R. Thanks! Xin A=327.727 B=9517.336 p=0.114^10 (1-p)*y*(1-x)/x/(1-x^y)=A A(1+(1-x)*(1+y)/x-A))=B [[alternative HTML version deleted]]

Hello, Artur > I have defined registers, aliases and subregister set. > The problem is that register allocator is using 32bit registers that are > already used in a pair, for example: > lw $r0, 16[$r12]   // load word to r0 > ld $p0, 36[$r12]   // load doubleword to p0 > shl $p0, $p0, $r0    // shift left p0 by r0  and store result in p0 > where p0 is a pair r0:r1 > Could

Dear R-help, I have a question about pairwise.t.test and adjustment for multiple comparisons for paired data points. I have the following data: n=c("x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "y", "y", "y", "y", "y", "y",