similar to: Form Pairs of Variables for a paired t-test

Hello All, I have 8 variables named a b c d e f g h I need to create four variables from these 8 vraibles in R. the new variables are ab,cd,ef,gh. Can anyone pleas help me thanks, Pratap --------------------------------- [[alternative HTML version deleted]]

Hi, Could anyone tell me what is the command used in R to do 1. Differentiation 2. Newton Raphson method (Numerical Analysis in general...) Are there any packages separately for this? Thanks for your help! BR, Shubha [[alternative HTML version deleted]]

Hi All, Is there a way we can delete the empty white space around when we generate any graph/map using R? The final output should be onaly a picture with no white spaces all around. Cheers, Pratap --------------------------------- 5, 50, 500, 5000 - Store N number of mails in your inbox. Click here. [[alternative HTML version deleted]]

Dear R wizes, I have a data.frame of species abundances with column names consisting of 4 letter codes then an underscore and a number like this: abco_1, abco_2, abco_3, psm_1, psme_2, psme_3, etc. I would like to get an identifier for all the abco, and psme and other species etc. I used spec.fact<-substring(names(spec.count),1,4) To make a vector of the first 4 letters of

Hi All, Can some one explain me the following error- " Error in "names<-.default" 'names' attribute [1199] must be the same length as the vector [17]". Thanks, Pratap --------------------------------- [[alternative HTML version deleted]]

Hi All, I have vector containing 10 elements(odservations). I need to put this into a matrix, where the matrix should contain only one column. I need this to be done using the cbind command because in the final table I should have a column of attributes( from adifferent vector) and a column of vectors from the matrix above Please suggest me how this can be done Thanks and

Hello together, i have a data.frame, like this one: No. Change Date A 123 final 2013-01-15 B 123 error 2013-01-16 C 123 bug fixed 2013-01-17 D 111 final 2013-01-12 and now a want a new data.frame which includes

I am new to R and I suspect my problem is easily solved, but I haven't been able to figure it out without using loops. I am trying to implement Blair & Karniski's (1993) permutation test. I've included a sample data frame below. This data frame represents the conditional means (C1, C2) for 3 subjects in 2 consecutive samples of a continuous data set (e.g. ERP waveform).

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)

Hi R users, I have a very large data set that has two conditioning variables for the test I want to perform. A toy set can be simulated: type<-sample(1:3,100,replace=TRUE) class<-sample(1:20,100,replace=TRUE) value<-rnorm(100) data<-cbind(type,class,value) (though type and class are alphanum) I want to perform the three pair-wise t-tests between types for each class in data. Can

If there are many character variables,and I want to get the mosaic plot of every pair of each variable,how to do then? If the variables are numeric, I can use pairs to get paired scatter plot. But as to the character variables, how to get the "paired mosaic plot"? Many thanks. -- QQ: 1733768559 At 2015-02-07 17:04:26,"Jim Lemon" <drjimlemon at gmail.com>

Hi list, is there a package or function to compute the frequencies of pairs of chars in a variable across a grouping variable? Eg: d <- data.frame(ID=gl(2,3), F=c("A","B","C","A","C","D")) > d ID F 1 1 A 2 1 B 3 1 C 4 2 A 5 2 C 6 2 D Now I want to summarize the frequencies of all pairs A-B, A-C, A-D, B-C, B-D, C-D

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 All, In openssh, do we support multi-channeling? Rather than opening a new TCP socket for each SSH connection, all the SSH connections are multiplexed into one TCP connection. If so, from which version , do openssh supports it? Thanks Ravi Pratap

Hello, from time to time I keep getting problems with some emails causing signal 6. I've already reported those, but it seems not to be easy to find the cause. From the logs, it seems to occur in sieve implementation. I've checked the email envelopes tody by accident, probably this part of my telnet session might help: a11 fetch 1 all * 1 FETCH (RFC822.SIZE 16750 INTERNALDATE

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 friends, Please can anyone help me with an easier solution of doing the below mentioned work. Suppose i have a dataset like this:--- i1 i2 i3 i4 i5 1 7 13 1 2 2 8 14 2 2 3 9 15 3 3 4 10 16 4 4 5 11 17 5 5 6 12 18 6 7 *i1,i2,i3,i4,i5 are my items.I am able to find all possible pairs i.e Say this dataframe is "item_pairs" **i1,i2 **i1,i3 **i1,i4 i1,i5 **i2,i1

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",

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

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