I am tracking my body weight in a spread sheet but I want to improve the experience by using R. I was trying to find some information about time series analysis in R but I was not successful.
I\'d like to create a zip archive from within R, and need maximal cross-platform compatibility, so I would prefer not to use a system(\"zip\") command.
I have a vector x, that I would like to sort based on the order of values in vector y. The two vectors are not of the same length.
My current dataset data.df comes from about 420 students who took an 8-question survey under one of 3 instructors. escore is my outcome variable of interest.
When in auctex开发者_JS百科 and noweb-mode (using Sweave in emacs), I find it distracting when the screen recenters itself as I use next-line, previous-line, etc. (C-n, C-p, and mouse-1). Does anyone
I\'ve got a nice facet_wrap density plot that I have c开发者_开发问答reated with ggplot2. I would like for each panel to have x and y axis labels instead of only having the y axis labels along the lef
I\'ve been mostly working in SAS of late, but not wanting to lose what familiarity with R I have, I\'d like to replicate something basic I\'ve done. You\'ll forgive me if my SAS code isn\'t perfect, I
I am fitting a simple regression in R on gas usage per capita. The regression formulas looks like: gas_b <- lm(log(gasq_pop) ~ log(gasp) + log(pcincome) + log(pn) +
Is there a more \"R-minded\" way to dichotomise efficiently? Thanks. y<-c(0,3,2,1,0,开发者_如何转开发0,2,5,0,1,0,0);b<-vector()
Could anybody explain to me why simulatedCase <- rbinom(100,1,0.5) simDf <- data.frame(CASE = simulatedCase)
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