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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 14:34:32 +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/t144949888097t9exc4no50i5j.htm/, Retrieved Thu, 16 May 2024 13:43:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285404, Retrieved Thu, 16 May 2024 13:43:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [006b54b8ce76f482b86cd20c6480b526]
-    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] [7a1b228211171c106fd09cb69827bfa3] [Current]
-    D                          [Histogram] [Histogram vrouwen...] [2015-12-07 14:35:14] [006b54b8ce76f482b86cd20c6480b526]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62065
61943
62361
62919
62881
62892
62591
62417
62172
63113
63077
62438
62384
62506
62935
64433
64533
64184
63911
63673
63290
64652
64516
63995
64536
64776
65144
65238
65421
65821
66298
66523
67143
68835
68984
69170
69844
70528
71979
73608
73508
73973
73899
73566
73859
75287
75308
74871
75337
75449
76211
79371
80224
81014
80253
79169
79214
79783
79523
77265
76986

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285404&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285404&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285404&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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60000,62000[6100010.0163930.0163938e-06
[62000,64000[63000180.2950820.3114750.000148
[64000,66000[65000110.1803280.4918039e-05
[66000,68000[6700030.049180.5409842.5e-05
[68000,70000[6900040.0655740.6065573.3e-05
[70000,72000[7100020.0327870.6393441.6e-05
[72000,74000[7300060.0983610.7377054.9e-05
[74000,76000[7500050.0819670.8196724.1e-05
[76000,78000[7700030.049180.8688522.5e-05
[78000,80000[7900050.0819670.950824.1e-05
[80000,82000]8100030.0491812.5e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60000,62000[ & 61000 & 1 & 0.016393 & 0.016393 & 8e-06 \tabularnewline
[62000,64000[ & 63000 & 18 & 0.295082 & 0.311475 & 0.000148 \tabularnewline
[64000,66000[ & 65000 & 11 & 0.180328 & 0.491803 & 9e-05 \tabularnewline
[66000,68000[ & 67000 & 3 & 0.04918 & 0.540984 & 2.5e-05 \tabularnewline
[68000,70000[ & 69000 & 4 & 0.065574 & 0.606557 & 3.3e-05 \tabularnewline
[70000,72000[ & 71000 & 2 & 0.032787 & 0.639344 & 1.6e-05 \tabularnewline
[72000,74000[ & 73000 & 6 & 0.098361 & 0.737705 & 4.9e-05 \tabularnewline
[74000,76000[ & 75000 & 5 & 0.081967 & 0.819672 & 4.1e-05 \tabularnewline
[76000,78000[ & 77000 & 3 & 0.04918 & 0.868852 & 2.5e-05 \tabularnewline
[78000,80000[ & 79000 & 5 & 0.081967 & 0.95082 & 4.1e-05 \tabularnewline
[80000,82000] & 81000 & 3 & 0.04918 & 1 & 2.5e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285404&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][60000,62000[[/C][C]61000[/C][C]1[/C][C]0.016393[/C][C]0.016393[/C][C]8e-06[/C][/ROW]
[ROW][C][62000,64000[[/C][C]63000[/C][C]18[/C][C]0.295082[/C][C]0.311475[/C][C]0.000148[/C][/ROW]
[ROW][C][64000,66000[[/C][C]65000[/C][C]11[/C][C]0.180328[/C][C]0.491803[/C][C]9e-05[/C][/ROW]
[ROW][C][66000,68000[[/C][C]67000[/C][C]3[/C][C]0.04918[/C][C]0.540984[/C][C]2.5e-05[/C][/ROW]
[ROW][C][68000,70000[[/C][C]69000[/C][C]4[/C][C]0.065574[/C][C]0.606557[/C][C]3.3e-05[/C][/ROW]
[ROW][C][70000,72000[[/C][C]71000[/C][C]2[/C][C]0.032787[/C][C]0.639344[/C][C]1.6e-05[/C][/ROW]
[ROW][C][72000,74000[[/C][C]73000[/C][C]6[/C][C]0.098361[/C][C]0.737705[/C][C]4.9e-05[/C][/ROW]
[ROW][C][74000,76000[[/C][C]75000[/C][C]5[/C][C]0.081967[/C][C]0.819672[/C][C]4.1e-05[/C][/ROW]
[ROW][C][76000,78000[[/C][C]77000[/C][C]3[/C][C]0.04918[/C][C]0.868852[/C][C]2.5e-05[/C][/ROW]
[ROW][C][78000,80000[[/C][C]79000[/C][C]5[/C][C]0.081967[/C][C]0.95082[/C][C]4.1e-05[/C][/ROW]
[ROW][C][80000,82000][/C][C]81000[/C][C]3[/C][C]0.04918[/C][C]1[/C][C]2.5e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285404&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285404&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
[60000,62000[6100010.0163930.0163938e-06
[62000,64000[63000180.2950820.3114750.000148
[64000,66000[65000110.1803280.4918039e-05
[66000,68000[6700030.049180.5409842.5e-05
[68000,70000[6900040.0655740.6065573.3e-05
[70000,72000[7100020.0327870.6393441.6e-05
[72000,74000[7300060.0983610.7377054.9e-05
[74000,76000[7500050.0819670.8196724.1e-05
[76000,78000[7700030.049180.8688522.5e-05
[78000,80000[7900050.0819670.950824.1e-05
[80000,82000]8100030.0491812.5e-05


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')
}