Hi Faiz, Just to add to the confusion: library(prettyR) describe(iris)
You can specify which summary measures you want in the "num.desc" argument. Jim On Tue, Mar 6, 2018 at 11:03 PM, faiz rasool <fai...@gmail.com> wrote: > Dear list, I have the following how-to-do it in R, questions. > > Suppose I have ten independent variables, and one dependent variable. > I want to find the Pearson correlation of all the IVs with the DV, but > not the correlation between the IVs. > > What I know so far, about R, that I have to type the cor () function > ten times, each time requesting for a correlation between one IV and > the DV. > > I was wondering that is there a way that I can accomplish what I want > with a single function or a fewer line of codes. > > My final goal is to create a table in Microsoft word comprising of ten > rows, each row for each independent variable and its correlation with > the DV. > > Based on what I know, I’ll be typing cor (IV,,DV), ten times, and then > typing the values in the table in MS Word. > > > Secondly, I would like to create a table that provides the details of > means and standard deviations, of multiple variables. > > The variables are ratings scores of likert type items. What I’d > like to do is to construct a table, where each row has the question, > its mean and standard deviation. I know that using the psych package, > I can have the mean of each item in the scale, but, how to develop a > table that has the item, mean, and SD on a same row? I do not know. > > Thank you for reading my questions. > > Regards, > Faiz. > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
