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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Distributional Plots.wasp
Title produced by softwareHistogram, QQplot and Density
Date of computationWed, 22 May 2013 10:23:16 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/22/t1369232614apluii0dfy5hsx0.htm/, Retrieved Sun, 28 Apr 2024 18:51:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209776, Retrieved Sun, 28 Apr 2024 18:51:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [RAD BPVT Regression] [2013-05-18 11:35:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Histogram, QQplot and Density] [sd] [2013-05-22 14:23:16] [8e2a207cbdb8841df0c48f3b81f1e1ea] [Current]
- R  D      [Histogram, QQplot and Density] [males RAD score] [2013-05-22 14:27:06] [2ee6cc98396251620517a4ca41e95edf]
- RMPD      [Wilcoxon-Mann-Whitney Test] [wilcoxon mann whi...] [2013-05-22 14:31:41] [2ee6cc98396251620517a4ca41e95edf]
- RMPD      [MC Exam - Q11] [multiple choice] [2013-05-22 14:54:17] [2ee6cc98396251620517a4ca41e95edf]
- RMPD      [CARE Data - Boxplots and Scatterplot Matrix] [gender] [2013-05-22 15:00:46] [2ee6cc98396251620517a4ca41e95edf]
- RMPD      [T-Tests] [t tst] [2013-05-22 15:07:05] [2ee6cc98396251620517a4ca41e95edf]
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Dataseries X:
-6.5
-7.33
49.33
-11
-2.67
-8.33
9
9.67
2.33
-12.3
-6
5.67
28.33
12
-2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209776&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209776&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209776&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Descriptive Statistics
mean4.01333formula
standard deviation16.5515formula

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
mean & 4.01333 & formula \tabularnewline
standard deviation & 16.5515 & formula \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209776&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]mean[/C][C]4.01333[/C][C]formula[/C][/ROW]
[ROW][C]standard deviation[/C][C]16.5515[/C][C]formula[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209776&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209776&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
mean4.01333formula
standard deviation16.5515formula



Parameters (Session):
par1 = 10 ;
Parameters (R input):
par1 = 10 ;
R code (references can be found in the software 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('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('unbiased1.htm','formula','click to see the formula'))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')