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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 04 Nov 2008 09:36:46 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/04/t1225816784qnaec3q83jvan1l.htm/, Retrieved Fri, 17 May 2024 09:00:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21595, Retrieved Fri, 17 May 2024 09:00:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm, de bruto indexcijfers van de industriële productie
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Paper: EDA - Hist...] [2007-12-14 14:37:39] [216c4ec435219ff277a18bbe0654ee7a]
- R PD    [Histogram] [Consumptiegoedere...] [2008-11-04 16:36:46] [99f79d508deef838ee89a56fb32f134e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,6
98
106,8
96,6
100,1
107,7
91,5
97,8
107,4
117,5
105,6
97,4
99,5
98
104,3
100,6
101,1
103,9
96,9
95,5
108,4
117
103,8
100,8
110,6
104
112,6
107,3
98,9
109,8
104,9
102,2
123,9
124,9
112,7
121,9
100,6
104,3
120,4
107,5
102,9
125,6
107,5
108,8
128,4
121,1
119,5
128,7
108,7
105,5
119,8
111,3
110,6
120,1
97,5
107,7
127,3
117,2
119,8
116,2
111
112,4
130,6
109,1
118,8
123,9
101,6
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
127
112,1
114,2
121,1
131,6
125
120,4
117,7
117,5
120,6
127,5
112,3
124,5
115,2
105,4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21595&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21595&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21595&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[90,95[92.510.010870.010870.002174
[95,100[97.5110.1195650.1304350.023913
[100,105[102.5140.1521740.2826090.030435
[105,110[107.5150.1630430.4456520.032609
[110,115[112.5130.1413040.5869570.028261
[115,120[117.5140.1521740.739130.030435
[120,125[122.5110.1195650.8586960.023913
[125,130[127.5110.1195650.9782610.023913
[130,135]132.520.02173910.004348

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[90,95[ & 92.5 & 1 & 0.01087 & 0.01087 & 0.002174 \tabularnewline
[95,100[ & 97.5 & 11 & 0.119565 & 0.130435 & 0.023913 \tabularnewline
[100,105[ & 102.5 & 14 & 0.152174 & 0.282609 & 0.030435 \tabularnewline
[105,110[ & 107.5 & 15 & 0.163043 & 0.445652 & 0.032609 \tabularnewline
[110,115[ & 112.5 & 13 & 0.141304 & 0.586957 & 0.028261 \tabularnewline
[115,120[ & 117.5 & 14 & 0.152174 & 0.73913 & 0.030435 \tabularnewline
[120,125[ & 122.5 & 11 & 0.119565 & 0.858696 & 0.023913 \tabularnewline
[125,130[ & 127.5 & 11 & 0.119565 & 0.978261 & 0.023913 \tabularnewline
[130,135] & 132.5 & 2 & 0.021739 & 1 & 0.004348 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21595&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]1[/C][C]0.01087[/C][C]0.01087[/C][C]0.002174[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]11[/C][C]0.119565[/C][C]0.130435[/C][C]0.023913[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]14[/C][C]0.152174[/C][C]0.282609[/C][C]0.030435[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]15[/C][C]0.163043[/C][C]0.445652[/C][C]0.032609[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]13[/C][C]0.141304[/C][C]0.586957[/C][C]0.028261[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]14[/C][C]0.152174[/C][C]0.73913[/C][C]0.030435[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]11[/C][C]0.119565[/C][C]0.858696[/C][C]0.023913[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]11[/C][C]0.119565[/C][C]0.978261[/C][C]0.023913[/C][/ROW]
[ROW][C][130,135][/C][C]132.5[/C][C]2[/C][C]0.021739[/C][C]1[/C][C]0.004348[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21595&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21595&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[90,95[92.510.010870.010870.002174
[95,100[97.5110.1195650.1304350.023913
[100,105[102.5140.1521740.2826090.030435
[105,110[107.5150.1630430.4456520.032609
[110,115[112.5130.1413040.5869570.028261
[115,120[117.5140.1521740.739130.030435
[120,125[122.5110.1195650.8586960.023913
[125,130[127.5110.1195650.9782610.023913
[130,135]132.520.02173910.004348


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')