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Hi all, I have a list with a numerical column "cum_hardreuses". By coincidence I discovered this: > max(libs[,"cum_hardreuses"]) [1] 1793 > summary(libs[,"cum_hardreuses"]) Min. 1st Qu. Median Mean 3rd Qu. Max. 1 2 4 36 14...
Uwe Ligges wrote: >>> max(libs[,"cum_hardreuses"]) >> [1] 1793 >>> summary(libs[,"cum_hardreuses"]) >> Min. 1st Qu. Median Mean 3rd Qu. Max. >> 1 2 4 36 14 1790 >> (note the max value of 1790) Ouch this is bad! Anything I can...
I feel really dumb for having to ask this, but here I go anyway... I perform structural equation modeling on a survey, using about 25 variables that create a total of 5 latent variables (factors). Applying sem (using the sem...
John Fox wrote: > Dear Sebastian, > > What you're looking for are factor-score coefficients, which would allow you > to estimate the values of the factors from the observed variables. Then, > given the original dataset from which the input-covariance matrix...
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