factor-analysis

I'm conducting a factor analysis of several variables in R using factanal() (but am open to using other packages). I want to determine each case's factor score, but I want the factor scores to be unstandardized and on the original metric of the input variables. When I run the factor analysis and obtain the factor scores, they are standardized with a normal distribution of mean=0, SD=1, and are not on the original metric of the input variables. How can I obtain unstandardized factor scores that have the same metric as the input variables? Ideally, this would mean a similar mean, sd, range, and

This question was migrated from Cross Validated because it can be answered on Stack Overflow. Migrated 3 years ago . UPDATE: 4/28 I found the proper syntax to import my centriod factor extraction into SPSS and rotate it. Because of limitations in SPSS on what subcommands can be used when reading a matrix in via MATRIX IN (...), I still need to find a way to get the FSCORE and save the new variable (/SAVE REG(ALL) ), but that is another post. What I believe to be the correct syntax is below, along with the proper setup of the matrix. Please correct me if I'm wrong! ORIGINAL POST: I've been

I have a factor of males and females say c("male", "female","female") and I want to create a vector of c(0,1,1) How can i change that in r? droopy With boolean : a <- c("male", "female","female") (a=="female")*1 hth Maybe not the most straight-forward way, but I would first change it to a factor, and then, if needed to an integer: a <- c("male", "female","female") a <- factor(a, levels=c("male","female"), labels=c(0,1)) a [1] 0 1 1 Levels: 0 1 as.integer(as.character(a)) #Need to be first transformed to a character [1] 0 1 1 #and then to an integer 来源： https://stackoverflow.com/questions