Re: [R] correlating matrices

- project.org] On Behalf Of frauke Sent: Friday, September 21, 2012 6:10 PM To: r-help@r-project.org Subject: Re: [R] correlating matrices Thank you for the fast help! I am not sure though if I understand the predict.lm business. The newdata that I would make predictions from consists of six matrices

Re: [R] correlating matrices

Thank you for the fast help! I am not sure though if I understand the predict.lm business. The newdata that I would make predictions from consists of six matrices, one for each variable. Do I cbind the matrices like you suggest for the regression and then convert them to a dataframe? How does R

Re: [R] correlating matrices

Hello, As for the first question, predict.lm with new data uses the formula used in the fit so do not change the way you pass on your new data. If the formula was Y ~ X1 + X2 you can use newdata = data.frame(New1, New2) newdata = data.frame(cbind(New1, New2)) but the order must be kept.

[R] correlating matrices

Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices. Basically, * mod-lm(matrix1 ~ matrix2+matrix3)* ( What looks like

Re: [R] correlating matrices

Hello, Inline. Em 19-09-2012 19:56, frauke escreveu: Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices.