# ::Free Statistics and Forecasting Software::

v1.1.23-r7
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### :: 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 MS Excel MS Word Data (click to load default data) 11.80352941 11.83372093 12.11764706 12.80365854 12.95308642 13.41772152 12.53139535 12.44712644 12.60689655 12.87176471 12.76904762 12.56235294 12.22298851 12.22413793 12.39651163 12.70941176 13.07228916 13.56125 13.30365854 13.48271605 13.2345679 13.26875 13.44936709 13.4835443 13.145 13.21 13.54556962 13.4875 14.04155844 15.05972222 14.536 14.84794521 15.52142857 15.65 15.95571429 15.38333333 15.17534247 15.6 16.52647059 17.634375 18.80983607 17.87846154 15.17662338 14.49493671 15.21466667 16.24927536 16.5 15.45217391 13.75974026 13.37875 13.3875 14.02597403 14.82739726 14.82702703 13.52222222 13.33012048 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., (2012), Stem-and-leaf Plot (v1.0.5) in Free Statistics Software (v1.1.23-r7), 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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 Top | Output | Charts | References | History | Feedback