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Hi, I am trying to do simple linear regression using dates in R but receiving error messages. With the data shown below, I would like to regress x on y. x y 11/12/1999 56.8 11/29/1999 17.9 01/04/2000 27.4 1/14/2000 96.8 1/31/2000 49.5 R gives the following error messages after reading the linear regression command: Error in storage.mode(y) <-

Hi,* *I would like to set the entries of an array that appear as "NA" to a certain integer, but did not find a way to do so. The related code is given below: A <- array(-1000 , dim=c(100) ); for(i in 1: 100 ){ A[i] =B[i,57] - B[i,5]; } A [ which( A == "NA") ] <- 900; The "NA"s still appear as the entries of the array A. Can you tell me what is

Hi, I have been examining large data and need to do simple linear regression with the data which is grouped based on the values of a particular attribute. For instance, consider three columns : ID, x, y, and I need to regress x on y for each distinct value of ID. Specifically, for the set of data corresponding to each of the 4 values of ID (76,111,121,168) in the below data, I should invoke

Hi, I have a certain number of paired data that show errors at the x-axis and y-axis for the location of a target and is below. My aim is to fit a distribution to the uncertain location of the target via certain tests such as Chi-square test (if possible). I was wondering how it can be done in R. Thanks in advance, Yasin x error y error 5.5 -0.5 7 -2 -8 -7.5 6 -1 -1.5 -1 8 2 -2 -2 7 -10