# ::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) 655362 873127 1107897 1555964 1671159 1493308 2957796 2638691 1305669 1280496 921900 867888 652586 913831 1108544 1555827 1699283 1509458 3268975 2425016 1312703 1365498 934453 775019 651142 843192 1146766 1652601 1465906 1652734 2922334 2702805 1458956 1410363 1019279 936574 708917 885295 1099663 1576220 1487870 1488635 2882530 2677026 1404398 1344370 936865 872705 628151 953712 1160384 1400618 1661511 1495347 2918786 2775677 1407026 1370199 964526 850851 683118 847224 1073256 1514326 1503734 1507712 2865698 2788128 1391596 1366378 946295 859626 Sample Range:(leave blank to include all observations) From: To: scale (?) width (?) tolerance (?)

Click here to edit the underlying code of this R Module.

 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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 [Select module] Main Menu Equation Plotter   Scientific Forecasting   Descriptive Statistics -Central Tendency -Variability -Skewness/Kurtosis -Quartiles -Percentiles -Stem and Leaf -Histogram -Kernel Density -Harrell-Davis -Univariate EDA -Bootstrap -Blocked Bootstrap -Mean Plot -SD Plot -(P)ACF -Spectrum -SD Mean-Plot -Variance Reduction -Correlation -Kendall Rank Corr. -Simple Regression -Bivariate KDE -Box-Cox Linearity -Regression Validation -Back-Back Histo. -Partial Correlation -Trivariate Scatter -Kendall tau Matrix -Notched Boxplots -Star Plot   Distributions -Normal ML Fit -Beta ML Fit -Cauchy ML Fit -Exponential ML Fit -Gamma ML Fit -Lognormal ML Fit -Logistic ML Fit -Neg. Binom. ML Fit -Poisson ML Fit -Weibull ML Fit -Tukey lambda PPCC -Box-Cox Normality   Hypothesis Tests -Mean -Skewness/Kurtosis   Multiple Regression -Estimate Equation   About this server

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