Thanks. Could we print the row/column names, "alpha1" and "alpha2" to the csv file?
2016-04-30 17:06 GMT-07:00 Jim Lemon <drjimle...@gmail.com>: > Hi jpm miao, > I think you can get what you want like this: > > alpha1<-sample(LETTERS[1:3],50,TRUE) > alpha2<-sample(LETTERS[1:2],50,TRUE) > alphas<-data.frame(alpha1,alpha2) > library(prettyR) > alphatab<-xtab(alpha1~alpha2,alphas) > sink("temp_table3.csv",append=TRUE) > delim.xtab(alphatab,pct=NA,delim=",") > sink() > > Jim > > On Sun, May 1, 2016 at 4:47 AM, jpm miao <miao...@gmail.com> wrote: > > Jim, > > > > Thanks for creating such a fantastic package "prettyR". > > I want to print the pretty frequency table (with row total and column > > total) to an excel (or csv ) file. Is it possible? > >>alphatab > > > > A B Total > > A 8 10 18 > > B 7 5 12 > > C 9 11 20 > > Total 24 26 50 > > > > Two issues I encountered (See the attached csv file). > > 1. When I tried to print the above table to csv file, all elements on the > > same row are printed in one cell. > > 2. If I write "delim.table(alpha tab)", the table is distorted (see > > attached). Of course, I can adjust it manually but sometimes the number > of > > files is big. > > > > Thanks! > > > > Miao > > > >> alpha1<-sample(LETTERS[1:3],50,TRUE) > >> alpha2<-sample(LETTERS[1:2],50,TRUE) > >> > >> alphas<-data.frame(alpha1,alpha2) > >> alphatab<-xtab(alpha1~alpha2,alphas) > > Crosstabulation of alpha1 by alpha2 > > alpha2 > > alpha1 A B > > A 8 10 18 > > 44.44 55.56 - > > 33.33 38.46 36.00 > > > > B 7 5 12 > > 58.33 41.67 - > > 29.17 19.23 24.00 > > > > C 9 11 20 > > 45 55 - > > 37.50 42.31 40.00 > > > > 24 26 50 > > 48 52 100 > >> delim.xtab(alphatab,pct=NA,interdigitate=TRUE) > > alphatab > > > > A B Total > > A 8 10 18 > > B 7 5 12 > > C 9 11 20 > > Total 24 26 50 > > > >> sink("temp_table3.csv") > >> delim.xtab(alphatab,pct=NA,interdigitate=TRUE) > >> sink() > >> sink("temp_table3.csv", append=TRUE) > >> delim.table(alphatab) > >> sink() > >> sink("temp_table3.csv", append=TRUE) > >> delim.table(alphatab) > >> sink() > >> ?delim.xtab > > > > > > 2016-04-26 16:14 GMT-07:00 Jim Lemon <drjimle...@gmail.com>: > >> > >> Hi jpm miao, > >> You can get CSV files that can be imported into Excel like this: > >> > >> library(prettyR) > >> sink("excel_table1.csv") > >> delim.table(table(df[,c("y","z")])) > >> sink() > >> sink("excel_table2.csv") > >> delim.table(as.data.frame(table(df[,c("y","z")])),label="") > >> sink() > >> sink("excel_table3.csv") > >> delim.table(as.matrix(table(df[,c("y","z")])),label="") > >> sink() > >> > >> Jim > >> > >> On Wed, Apr 27, 2016 at 8:35 AM, jpm miao <miao...@gmail.com> wrote: > >> > Hi, > >> > > >> > How could we print the frequency table (produced by "table") to an > >> > Excel > >> > file? > >> > Is there an easy way to do so? Thanks, > >> > > >> > Miao > >> > > >> >> df <- data.frame(x = 1:3, y = 3:1, z = letters[1:3]) > >> > > >> >> table(df[,c("y","z")]) > >> > z > >> > y a b c > >> > 1 0 0 1 > >> > 2 0 1 0 > >> > 3 1 0 0 > >> >> test<-table(df[,c("y","z")]) > >> >> as.data.frame(test) > >> > y z Freq > >> > 1 1 a 0 > >> > 2 2 a 0 > >> > 3 3 a 1 > >> > 4 1 b 0 > >> > 5 2 b 1 > >> > 6 3 b 0 > >> > 7 1 c 1 > >> > 8 2 c 0 > >> > 9 3 c 0 > >> >> as.matrix(test) > >> > z > >> > y a b c > >> > 1 0 0 1 > >> > 2 0 1 0 > >> > 3 1 0 0 > >> >> testm<-as.matrix(test) > >> >> testm > >> > z > >> > y a b c > >> > 1 0 0 1 > >> > 2 0 1 0 > >> > 3 1 0 0 > >> >> typeof(testm) > >> > [1] "integer" > >> > > >> > [[alternative HTML version deleted]] > >> > > >> > ______________________________________________ > >> > 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. > > > > > [[alternative HTML version deleted]] ______________________________________________ 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.