The lm function is used to fit linear models in R. It can be used to carry out regression, single stratum analysis of variance and analysis of covariance.
I would like to have a nice plot about residuals I got from an lm() model. Currently I use plot(…
r ggplot2 lmI am running a linear regression on some variables in a data frame. I'd like to be able to subset …
r linear-regression lmworking with a data frame x Date Val 1/1/2012 7 2/1/2012 9 3/1/2012 20 4/1/2012 24 5/1/2012 50 a <- seq(as.Date(tail(x, 1)$Date), by="month", length=5) …
r lm predictI want to do linear regression with the lm function. My dependent variable is a factor called AccountStatus: 1:0 days in …
r lm categorical-data r-factorIn R, how can I set weights for particular variables and not observations in lm() function? Context is as follows. …
r linear-regression lmI have been trying to figure out how the subset argument in R's lm() function works. Especially the follwoing code …
r linear-regression lmInstead of something like lm(bp~height+age, data=mydata) I would like to specify the columns by number, not …
r formula lmI've used lm() to fit multiple regression models, for multiple (~1 million) response variables in R. Eg. allModels <- lm(…
r regression linear-regression lm mlmI am analysing data regarding reed fields. Variables I have measured are water depth, reed height, reed density, etc. As …
r pca lmIs there a simple command to do leave-one-out cross validation with the lm() function in R? Specifically is there a …
r cross-validation lm