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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
0
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Principal component analysis to reduce the number of observations
Principal Component Analysis (PCA) seems great to reduce the number of variables, but is it also good to reduce the number of observations?
Here is an example: reflectance measurements were taken fro …
2
votes
0
answers
325
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Contrasts are giving wrong estimates using glht in R
The problem: glht is giving the direct differences between the estimates of the summary table (i.e., not summing each estimate with the intercept to obtain the estimated value).
contrast1 <- matrix(c …
2
votes
0
answers
59
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Why predicted values differ among methods?
I am using the dataset Orthodont from nlme to simplify my example.
library(nlme)
fm1 <- lme(distance ~ age + Sex, random = list(Subject = ~ 1+age), data = Orthodont)
First, I created the predicted …
2
votes
Accepted
Comparing two models through ANOVA with different types of functions
The two models cannot be compared using anova() because the response variable is different (y vs. logy).
There are similar questions in the cloud: How to use anova for two models comparison?
You ca …