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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 computationMon, 07 Dec 2015 14:31:49 +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/2015/Dec/07/t1449498722oah2dj2hc8jn6q6.htm/, Retrieved Thu, 16 May 2024 14:20:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285400, Retrieved Thu, 16 May 2024 14:20:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [boxplot] [2015-12-07 13:57:43] [006b54b8ce76f482b86cd20c6480b526]
-       [Notched Boxplots] [boxplot] [2015-12-07 14:04:56] [006b54b8ce76f482b86cd20c6480b526]
- R PD    [Notched Boxplots] [Boxplot 25-50] [2015-12-07 14:11:12] [006b54b8ce76f482b86cd20c6480b526]
-    D      [Notched Boxplots] [Boxplot ouder 50] [2015-12-07 14:12:43] [006b54b8ce76f482b86cd20c6480b526]
- R  D        [Notched Boxplots] [] [2015-12-07 14:21:26] [006b54b8ce76f482b86cd20c6480b526]
- RM D          [Histogram] [Histogram totaal ...] [2015-12-07 14:21:55] [006b54b8ce76f482b86cd20c6480b526]
-    D            [Histogram] [Histogram totaal ...] [2015-12-07 14:22:55] [006b54b8ce76f482b86cd20c6480b526]
-    D              [Histogram] [Histogram mannen ...] [2015-12-07 14:30:30] [006b54b8ce76f482b86cd20c6480b526]
-    D                  [Histogram] [Histogram vrouwen...] [2015-12-07 14:31:49] [7a1b228211171c106fd09cb69827bfa3] [Current]
-    D                    [Histogram] [histogram mannen ...] [2015-12-07 14:32:55] [006b54b8ce76f482b86cd20c6480b526]
-    D                      [Histogram] [Histogram vrouwen...] [2015-12-07 14:33:46] [006b54b8ce76f482b86cd20c6480b526]
-    D                        [Histogram] [Histogram mannen ...] [2015-12-07 14:34:32] [006b54b8ce76f482b86cd20c6480b526]
-    D                          [Histogram] [Histogram vrouwen...] [2015-12-07 14:35:14] [006b54b8ce76f482b86cd20c6480b526]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
55954
52044
49975
50398
48751
46908
44938
42372
43522
58434
62713
59266
53411
50215
48474
50250
49409
46751
44869
43023
44638
57810
65000
61665
56119
52162
51069
51744
50816
48578
47144
44839
45879
60730
65037
63281
57300
53335
51813
52597
50744
48008
45326
42661
43627
58156
61772
59879
54417
50575
48798
48819
47606
45345
42484
39735
40959
53249
57028
55763
50547

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=285400&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=285400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285400&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
[35000,40000[3750010.0163930.0163933e-06
[40000,45000[42500110.1803280.1967213.6e-05
[45000,50000[47500150.2459020.4426234.9e-05
[50000,55000[52500170.2786890.7213115.6e-05
[55000,60000[57500100.1639340.8852463.3e-05
[60000,65000[6250050.0819670.9672131.6e-05
[65000,70000]6750020.03278717e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[35000,40000[ & 37500 & 1 & 0.016393 & 0.016393 & 3e-06 \tabularnewline
[40000,45000[ & 42500 & 11 & 0.180328 & 0.196721 & 3.6e-05 \tabularnewline
[45000,50000[ & 47500 & 15 & 0.245902 & 0.442623 & 4.9e-05 \tabularnewline
[50000,55000[ & 52500 & 17 & 0.278689 & 0.721311 & 5.6e-05 \tabularnewline
[55000,60000[ & 57500 & 10 & 0.163934 & 0.885246 & 3.3e-05 \tabularnewline
[60000,65000[ & 62500 & 5 & 0.081967 & 0.967213 & 1.6e-05 \tabularnewline
[65000,70000] & 67500 & 2 & 0.032787 & 1 & 7e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285400&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][35000,40000[[/C][C]37500[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]3e-06[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]11[/C][C]0.180328[/C][C]0.196721[/C][C]3.6e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]15[/C][C]0.245902[/C][C]0.442623[/C][C]4.9e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]17[/C][C]0.278689[/C][C]0.721311[/C][C]5.6e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]10[/C][C]0.163934[/C][C]0.885246[/C][C]3.3e-05[/C][/ROW]
[ROW][C][60000,65000[[/C][C]62500[/C][C]5[/C][C]0.081967[/C][C]0.967213[/C][C]1.6e-05[/C][/ROW]
[ROW][C][65000,70000][/C][C]67500[/C][C]2[/C][C]0.032787[/C][C]1[/C][C]7e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285400&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
[35000,40000[3750010.0163930.0163933e-06
[40000,45000[42500110.1803280.1967213.6e-05
[45000,50000[47500150.2459020.4426234.9e-05
[50000,55000[52500170.2786890.7213115.6e-05
[55000,60000[57500100.1639340.8852463.3e-05
[60000,65000[6250050.0819670.9672131.6e-05
[65000,70000]6750020.03278717e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 80 ; par3 = 1e-08 ;
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')
}