::Free Statistics and Forecasting Software::

v1.1.23-r7
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:: Histogram, QQplot and Density - 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 Histogram and QQplot for a univariate data series. This R module is used in Workshop 1 of the PY2224 statistics course at Aston University, UK.

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 Send output to: Browser Blue - Charts White Browser Black/White CSV MS Excel MS Word Data (click to load default data) 85 60 89 97 98 94 83 69 89 94 90 78 88 102 82 110 90 90 80 68 89 94 81 65 102 86 84 89 92 72 82 94 81 80 91 85 86 103 85 93 82 60 81 94 98 79 83 86 75 86 94 85 90 64 105 96 82 95 99 82 102 77 75 77 77 98 87 73 73 85 76 94 73 60 99 106 94 89 79 112 94 82 75 86 79 82 92 94 84 93 60 82 71 89 110 74 98 96 106 103 87 98 72 98 84 77 85 85 99 90 87 99 89 97 106 82 90 92 95 99 86 90 84 70 92 98 110 92 93 87 91 104 88 92 107 85 93 89 101 94 82 88 73 112 93 77 93 93 87 95 93 74 69 80 82 98 112 101 87 90 72 85 97 107 77 89 103 87 112 95 92 89 86 85 92 78 Sample Range:(leave blank to include all observations) From: To: Number of Bins (?) Chart options Width: Height: Title: Label x-axis:

 Source code of R module x <- x[!is.na(x)] bitmap(file="test1.png") par1 <- as.numeric(par1) myhist<-hist(x, breaks=par1, col=2, xlab=xlab, main=main) dev.off() bitmap(file="test2.png") qqnorm(x) qqline(x, col=2) dev.off() bitmap(file="test3.png") plot(density(x), xlab=xlab, main=main) dev.off() load(file="createtable") a<-table.start() a<-table.row.start(a) a<-table.element(a,"Descriptive Statistics",3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,"mean",header=TRUE) a<-table.element(a,signif(mean(x), 6)) a<-table.element(a,hyperlink("http://www.xycoon.com/arithmetic_mean.htm","formula","click to see the formula")) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,"standard deviation",header=TRUE) a<-table.element(a,signif(sd(x), 6)) a<-table.element(a,hyperlink("http://www.xycoon.com/unbiased1.htm","formula","click to see the formula")) a<-table.row.end(a) a<-table.end(a) table.save(a,file="mytable.tab")
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 Cite this software as: Ian E. Holliday, 2012, Histogram, QQplot and Density Plot (v1.0.1) in Free Statistics Software (v1.1.23-r7), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Distributional Plots.wasp/ The R code is based on :
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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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