Re: [R] Re : Re: descriptive statistics
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 analysis on the same group of variables (V1--V5) I used before. I'd like to get a similar descriptive analysis of these principal components by variable V. Correct me if I am wrong; should I run it on the scores of the 2 or 3 principal components I obtained in the PCA? -- View this message in context: http://r.789695.n4.nabble.com/descriptive-statistics-tp3085197p3086849.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] descriptive statistics
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 me some lines? -- View this message in context: http://r.789695.n4.nabble.com/descriptive-statistics-tp3085197p3085197.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Re : descriptive statistics
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 set of other variables (V1, V2, V3, V4, V5). And this for all the other subgroups for values 2 to 14. What do you suggest? -- View this message in context: http://r.789695.n4.nabble.com/descriptive-statistics-tp3085197p3085462.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Re : Re : descriptive statistics
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=my.summary,data=data)
summary(var_C~cluster, fun=my.summary,data=data)
summary(var_D~cluster, fun=my.summary,data=data)
summary(var_E~cluster, fun=my.summary,data=data)
summary(var_F~cluster, fun=my.summary,data=data)
summary(var_G~cluster, fun=my.summary,data=data)
}
thanks for your patience.
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[R] lm regression
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? -- View this message in context: http://r.789695.n4.nabble.com/lm-regression-tp3060123p3060123.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] lm regression
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 understanding of the warning there are two errors, maybe they are connected. I think I should change an option in the lm changing the responso from numeric to factor. Is it true? How it can be done? -- View this message in context: http://r.789695.n4.nabble.com/lm-regression-tp3060123p3060363.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
