similar to: Inconsistency in paired t.test() interface?

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)

Hello, I am currently trying to get a Samba 4.5.1 environment set up for testing and I am unable to get samba to request a new password from a windows user. The error that I get, is in Japanese, so I don't have the exact translation, however it is along the lines of... Your user password must be changed before logging in for the first time. However it does not give me the prompt to do so

On Sun, 4 Dec 2016 12:11:17 +0100 Marc Muehlfeld via samba <samba at lists.samba.org> wrote: > Hi Scott, > > Am 02.12.2016 um 06:55 schrieb Scott Mattan via samba: > > I am currently trying to get a Samba 4.5.1 environment set up for > > testing and I am unable to get samba to request a new password from > > a windows user. The error that I get, is in Japanese,

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

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 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",

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

On Mon, 05 Dec 2016 07:50:23 +1300 Andrew Bartlett <abartlet at samba.org> wrote: > On Sun, 2016-12-04 at 11:43 +0000, Rowland Penny via samba wrote: > > On Sun, 4 Dec 2016 12:11:17 +0100 > > Marc Muehlfeld via samba <samba at lists.samba.org> wrote: > > > > > > > > Hi Scott, > > > > > > Am 02.12.2016 um 06:55 schrieb Scott

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 - - -

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

------- Forwarded message follows ------- From: Petr Pikal <petr.pikal at precheza.cz> To: Henrik Parn <henrik.parn at bio.ntnu.no> Subject: Re: [R] paired t-test. Need to rearrange data? Date sent: Tue, 08 Aug 2006 16:13:47 +0200 Hi Uff, it takes me a bit headache but this shall do it ?unstack ?table ?t new.list<-unstack(test.data,y~id)

Hi Scott, Am 02.12.2016 um 06:55 schrieb Scott Mattan via samba: > I am currently trying to get a Samba 4.5.1 environment set up for testing > and I am unable to get samba to request a new password from a windows > user. The error that I get, is in Japanese, so I don't have the exact > translation, however it is along the lines of... > > Your user password must be changed

On Sun, 2016-12-04 at 11:43 +0000, Rowland Penny via samba wrote: > On Sun, 4 Dec 2016 12:11:17 +0100 > Marc Muehlfeld via samba <samba at lists.samba.org> wrote: > > > > > Hi Scott, > > > > Am 02.12.2016 um 06:55 schrieb Scott Mattan via samba: > > > > > > I am currently trying to get a Samba 4.5.1 environment set up for > > >

hi there, i have a few questions about the correct interpretation of a paired t-test. (i don't think that this matters, but I'm using R 2.10.1 on Windows). to my questions: i've been using a lot of time about this minor concerns now and I hope you can help me... I use one- and two-sided t-tests. My questons are on one side about how R uses the hypothesis' and the second one

Hi, everyone: My system was compromised a few days ago. The cracker attacked the system through openssh 2.9p2 release 8.7. I attached part of the log file. Thanks. Pin Lu (pin at stredo.com) Nov 25 11:33:05 ns sshd[10627]: Disconnecting: Corrupted check bytes on input. Nov 25 11:33:36 ns named[10478]: Lame server on '55.254.58.211.in-addr.arpa' (in

I would like to know if you have any suggestions how to visualize the results from a paired t-test (see the example data below). I tried to produce plots that show the mean and CI's from the original data and the estimate of the difference between means and the confidence intervals (see below) from the t-test. I really don't know what would be the best way to graphically display the

Dear all, I have received some data arranged like this: # original data id <- rep(letters[1:6], each=2) time <- as.factor(rep(1:2, 6)) y <- as.vector(replicate(6, c(rnorm(n=1, mean=1), rnorm(n=1, mean=2)))) test.data <- data.frame(id, time, y) test.data I would like to perform a paired t-test of the y-values at time=1 against those at time=2, with samples paired by their id. Is it

Hi Guys, I am having a real hard time trying to figure out for microarry. Here is my code One-Sample t-Test dim(data.sub) [1] 10000 140 ##there are 10000 probesets and 140 columns hist(data.sub) ## Histogram. Identify if the probesets are normal distributed q<-rnorm(10000) ##generate 10000 random, normal distributed values qqplot(data.sub,q)) ##Show the plot of the probeset

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