Thanks! I got the results! Now I would like to put them in a nice and
readable plot to see if there are outlier means or variances. Using
"plot(by_many$mean)" I got "Error in by_many$mean : object of type 'closure'
is not subsettable".
Another question: I have done the principal components analys
what am I supposed to put into function(x)? The indicator for extracting the
subgroups?
data is the df. cluster={1,...,14}.
This is how I was compiling:
"for (i in 1:14) {
my.summary<-data$cluster==i c(mean(?),var(?))
summary(var_A~cluster, fun=my.summary,data=data)
summary(var_B~cluster, fun=m
I am sorry, but I cannot understand how to use the "summary" function. Maybe,
if I describe my needs, you could sketch a line that could work.
In the data set variable "V" can take values 1 to 14. For the subgroup of
individuals where "V" takes value =1 I want the mean and variance of a
certain se
Hi. In a data set I have a variable that takes values from 1 to 14. For each
subgroup of values of this variable, I would like to obtain some descriptive
statistics of other variables present in the data set. I've been trying with
a "for" loop but I couldn't get nothing. Could you please suggest m
I found one error in in the code, however, I still receive errors.
Error in storage.mode(y) <- "double" :
invalid to change the storage mode of a factor
Moreover: Warning message:
In model.response(mf, "numeric") :
using type="numeric" with a factor response will be ignored
>From my unders
Hi! My regression is lm(Y ~ A + B + C + D + E + F + G), where each covariate
"A--G" is of the kind "as.factor(column of the dataframe)".
I receive an error for the first explanatory variable "A": Error in column
of the dataframe: wrong number of dimensions. What does it mean?
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