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2013 Nov 08
1
Different output from lm() and lmPerm lmp() if categorical variables are included in the analysis
...from package lmPerm According to help(lmp): "This function will behave identically to lm() if the following parameters are set: perm="", seq=TRUE, center=FALSE.") But not in the case of including categorical variables: require(lmPerm) set.seed(42) testx1 <- rnorm(100,10,5) testx2 <- c(rep("a",50),rep("b",50)) testy <- 5*testx1 + 3 + runif(100,-20,20) test <- data.frame(x1=testx1,x2= testx2,y=testy) atest <- lm(y ~ x1*x2,data=test) aptest <- lmp(y ~ x1*x2,data=test,perm = "", seqs = TRUE, center = FALSE) summary(atest) Call: lm(f...
2011 Jul 09
3
Using str() in a function.
...d a large number of things; none do what I want. > GG<- c(1,2,3) # This one ignores the str(). > testX <- function(X) {return(summary(X)); str(X)} > testX(GG) Min. 1st Qu. Median Mean 3rd Qu. Max. 1.0 1.5 2.0 2.0 2.5 3.0 # So does this one. > testX2 <- function(X) {return(summary(X)); return(str(X))} > testX2(GG) Min. 1st Qu. Median Mean 3rd Qu. Max. 1.0 1.5 2.0 2.0 2.5 3.0 # On the other hand, this one ignores the summary() > testX3 <- function(X) {summary(X); return(str(X))} > testX3(GG) n...