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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 15 Feb 2017 07:43:58 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Feb/15/t14871446789936o3hmdkgtzq7.htm/, Retrieved Sat, 11 May 2024 10:29:36 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 11 May 2024 10:29:36 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsniet werkende werkenzoekenden
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698
111203
110030
104009
99772
96301
97680
121563
134210
133111
124527
117589
115699
117830
115874
111267
107985
102185
102101
128932
135782
136971
126292
119260
117359
119818
116059
110046
104100
97981
97527
123700
129678
130790
120961
114232
110518
110959
108443
103977
97126
90860
91959
113735
119713
121905
112442
106728
104906
105308
102909
97849
93181
87470
86998
106716
115028
116828
108413
102628
99126

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[85000,90000[8750020.0277780.0277786e-06
[90000,95000[9250050.0694440.0972221.4e-05
[95000,1e+05[9750090.1250.2222222.5e-05
[1e+05,105000[10250090.1250.3472222.5e-05
[105000,110000[107500100.1388890.4861112.8e-05
[110000,115000[112500100.1388890.6252.8e-05
[115000,120000[117500110.1527780.7777783.1e-05
[120000,125000[12250070.0972220.8751.9e-05
[125000,130000[12750040.0555560.9305561.1e-05
[130000,135000[13250030.0416670.9722228e-06
[135000,140000]13750020.02777816e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[85000,90000[ & 87500 & 2 & 0.027778 & 0.027778 & 6e-06 \tabularnewline
[90000,95000[ & 92500 & 5 & 0.069444 & 0.097222 & 1.4e-05 \tabularnewline
[95000,1e+05[ & 97500 & 9 & 0.125 & 0.222222 & 2.5e-05 \tabularnewline
[1e+05,105000[ & 102500 & 9 & 0.125 & 0.347222 & 2.5e-05 \tabularnewline
[105000,110000[ & 107500 & 10 & 0.138889 & 0.486111 & 2.8e-05 \tabularnewline
[110000,115000[ & 112500 & 10 & 0.138889 & 0.625 & 2.8e-05 \tabularnewline
[115000,120000[ & 117500 & 11 & 0.152778 & 0.777778 & 3.1e-05 \tabularnewline
[120000,125000[ & 122500 & 7 & 0.097222 & 0.875 & 1.9e-05 \tabularnewline
[125000,130000[ & 127500 & 4 & 0.055556 & 0.930556 & 1.1e-05 \tabularnewline
[130000,135000[ & 132500 & 3 & 0.041667 & 0.972222 & 8e-06 \tabularnewline
[135000,140000] & 137500 & 2 & 0.027778 & 1 & 6e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][85000,90000[[/C][C]87500[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]6e-06[/C][/ROW]
[ROW][C][90000,95000[[/C][C]92500[/C][C]5[/C][C]0.069444[/C][C]0.097222[/C][C]1.4e-05[/C][/ROW]
[ROW][C][95000,1e+05[[/C][C]97500[/C][C]9[/C][C]0.125[/C][C]0.222222[/C][C]2.5e-05[/C][/ROW]
[ROW][C][1e+05,105000[[/C][C]102500[/C][C]9[/C][C]0.125[/C][C]0.347222[/C][C]2.5e-05[/C][/ROW]
[ROW][C][105000,110000[[/C][C]107500[/C][C]10[/C][C]0.138889[/C][C]0.486111[/C][C]2.8e-05[/C][/ROW]
[ROW][C][110000,115000[[/C][C]112500[/C][C]10[/C][C]0.138889[/C][C]0.625[/C][C]2.8e-05[/C][/ROW]
[ROW][C][115000,120000[[/C][C]117500[/C][C]11[/C][C]0.152778[/C][C]0.777778[/C][C]3.1e-05[/C][/ROW]
[ROW][C][120000,125000[[/C][C]122500[/C][C]7[/C][C]0.097222[/C][C]0.875[/C][C]1.9e-05[/C][/ROW]
[ROW][C][125000,130000[[/C][C]127500[/C][C]4[/C][C]0.055556[/C][C]0.930556[/C][C]1.1e-05[/C][/ROW]
[ROW][C][130000,135000[[/C][C]132500[/C][C]3[/C][C]0.041667[/C][C]0.972222[/C][C]8e-06[/C][/ROW]
[ROW][C][135000,140000][/C][C]137500[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]6e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[85000,90000[8750020.0277780.0277786e-06
[90000,95000[9250050.0694440.0972221.4e-05
[95000,1e+05[9750090.1250.2222222.5e-05
[1e+05,105000[10250090.1250.3472222.5e-05
[105000,110000[107500100.1388890.4861112.8e-05
[110000,115000[112500100.1388890.6252.8e-05
[115000,120000[117500110.1527780.7777783.1e-05
[120000,125000[12250070.0972220.8751.9e-05
[125000,130000[12750040.0555560.9305561.1e-05
[130000,135000[13250030.0416670.9722228e-06
[135000,140000]13750020.02777816e-06


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.numeric(x[1])) {
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)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}