search for: ernaehrungskultur

As an R absolute beginner and an expert (very old) statistician and latex user, I'm interested in using R to produce AUTOMAGICALLY tables in latex format. I mean I would like to have the means to build an R procedure generating **FROM INSIDE** a table or a graph to be inserted directly into latex. I've read http://hesweb1.med.virginia.edu/biostat/s/doc/summary.pdf where the author speaks

...but I don't know which summary corresponds to which variable, because the variable names are not printed. Can somebody give me a hint? TIA Regards, Christoph -- Christoph Bier, Dipl.Oecotroph., Email: bier at wiz.uni-kassel.de Universitaet Kassel, FG Oekologische Lebensmittelqualitaet und Ernaehrungskultur \\ Postfach 12 52 \\ 37202 Witzenhausen Tel.: +49 (0) 55 42 / 98 -17 21, Fax: -17 13

...nt. TIA Regards, Christoph _______________________ ? Data is a data.frame with A and B being the sums of the characteristic values (not numeric) of one variable. -- Christoph Bier, Dipl.Oecotroph., Email: bier at wiz.uni-kassel.de Universitaet Kassel, FG Oekologische Lebensmittelqualitaet und Ernaehrungskultur \\ Postfach 12 52 \\ 37202 Witzenhausen Tel.: +49 (0) 55 42 / 98 -17 21, Fax: -17 13

...too =). [...] Thanks for your answer, that was first confusing and then therefore clarifying. I hope /my/ answer isn't too confusing. Best regards, Christoph -- Christoph Bier, Dipl.Oecotroph., Email: bier at wiz.uni-kassel.de Universitaet Kassel, FG Oekologische Lebensmittelqualitaet und Ernaehrungskultur \\ Postfach 12 52 \\ 37202 Witzenhausen Tel.: +49 (0) 55 42 / 98 -17 21, Fax: -17 13

...;-name71.s[i] print(paste("v1=",v1,"v11=",v11)) d1<-fb.12.hint[[v1]] d2<-fb.12.hint[[v11]] res<-chisq.test(d1,d2) print(res) } -- Christoph Bier, Dipl.Oecotroph., Email: bier at wiz.uni-kassel.de Universitaet Kassel, FG Oekologische Lebensmittelqualitaet und Ernaehrungskultur \\ Postfach 12 52 \\ 37202 Witzenhausen Tel.: +49 (0) 55 42 / 98 -17 21, Fax: -17 13

Hi all, I hope this isn't a naive newbie question again. Here you can see column 264 of a data frame containing data of the same interview in May and September. Column 264 contains the answers of 49 persons to a question in May. > fbhint.spss1[,264] [1] teils/teils sehr wichtig <NA> <NA> sehr wichtig [6] sehr wichtig sehr wichtig sehr wichtig <NA>