# ::Free Statistics and Forecasting Software::

v1.2.1

### :: Stem-and-leaf Plot - Free Statistics Software (Calculator) ::

All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.

This free online software (calculator) computes the Stem-and-leaf Plot for a univariate dataset.
The parameter scale can be used to expand the scale of the plot. A value of scale=2 will cause the plot to be roughly twice as long as the default.

Enter (or paste) your data delimited by hard returns.

 Send output to: Browser Blue - Charts White Browser Black/White CSV Data[reset data] 14538 18730 22485 20036 16971 19028 22759 20516 26195 27786 24090 25447 11509 15572 22518 20520 17789 20205 26835 25826 31934 30019 30111 31566 12738 19814 24776 20424 18688 20418 25778 25100 25859 30651 26551 31124 9367 17382 20995 18205 17328 18157 23691 26736 27165 34506 29506 31956 10698 18479 19785 19684 18730 17970 27044 22405 26482 29096 25591 29743 13807 19169 22782 20366 17537 18004 24319 22679 32034 36438 29383 28029 15548 17704 25316 20764 18089 21705 23843 22397 26105 29462 27071 31514 11514 17409 24561 21382 17351 22780 23970 26887 34777 35022 35338 36845 13971 22228 28806 20506 22414 25814 28352 29965 30212 32609 30364 37702 13253 21790 27192 21725 22205 24693 29133 35953 37863 43129 39690 41086 Sample Range:(leave blank to include all observations) From: To: scale (?) width (?) tolerance (?)

 Source code of R module par1 <- as.numeric(par1) par2 <- as.numeric(par2) par3 <- as.numeric(par3) stem(x,par1,par2,par3) load(file="createtable") a<-table.start() a<-table.row.start(a) a<-table.element(a,"Stem-and-leaf Plot",1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste("
",RC.texteval("stem(x,par1,par2,par3)"),"
",sep="")) a<-table.row.end(a) a<-table.end(a) table.save(a,file="mytable.tab")
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 Cite this software as: Wessa P., (2021), Stem-and-leaf Plot (v1.0.7) in Free Statistics Software (v1.2.1), Office for Research Development and Education, URL http://www.wessa.net/rwasp_stem.wasp/ The R code is based on : Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988), The New S Language, Wadsworth & Brooks/Cole. R Development Core Team (2005). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
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