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When I do t.test on two distributions (see example below), it outputs numerous data about the t.test. What I'd like to do is individually capture some of this data and assign it to other variables. However, I am unable to find anything in the help section. In the example below, the t value is -4.0441 and the p-value is 0.006771 How can I assign these values to two variables, let's

When I run the below section of code I get the following error: Error in if (co == "A" || co[1] == "O") { : missing value where TRUE/FALSE needed When I run the code in two parts where I first get the user's input then afterwards run the if/else section, there is no problem. Is there a way to stop the "run selection" process

I'm calculating correlations between two matrices mat1 <- matrix(sample(1:500,25), ncol = 5, dimnames=list(paste("mat1row", 1:5, sep=""), paste("mat1col", 1:5, sep=""))) mat2 <- matrix(sample(501:1000,25), ncol = 5, dimnames=list(paste("mat2row", 1:5, sep=""), paste("mat2col", 1:5, sep="")))

Dear useRs, I recently began a job at a very large and heavily bureaucratic organization. We're setting up a research office and statistical analysis will form the backbone of our work. We'll be working with large datasets such the SIPP as well as our own administrative data. Due to the bureaucracy, it will take some time to get the licenses for proprietary software like Stata. Right