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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 computationTue, 14 Feb 2017 16:49:20 +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/14/t1487091083mwuw3wk1auuj4nz.htm/, Retrieved Sat, 11 May 2024 22:26:57 +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 22:26:57 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
45570
45118
41921
40167
37315
39206
57075
58664
51705
45527
41057
40867
41484
39738
37254
35177
32846
34079
51287
52800
48443
42223
38796
38952
42343
42023
39340
37149
35431
36537
49626
58677
56009
50069
46470
45603
46729
46989
44666
42920
40125
40941
57748
61246
59809
52682
48394
47436
49750
48172
44960
41831
38672
39704
56207
59254
57374
51309
47083
45092
46353
45348
42867
39980
36790
37504
53331
55997
54764
48590
45565
44959

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.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]'Gwilym Jenkins' @ jenkins.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'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[30000,35000[3250020.0277780.0277786e-06
[35000,40000[37500160.2222220.254.4e-05
[40000,45000[42500160.2222220.4722224.4e-05
[45000,50000[47500190.2638890.7361115.3e-05
[50000,55000[5250080.1111110.8472222.2e-05
[55000,60000[57500100.1388890.9861112.8e-05
[60000,65000]6250010.01388913e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[30000,35000[ & 32500 & 2 & 0.027778 & 0.027778 & 6e-06 \tabularnewline
[35000,40000[ & 37500 & 16 & 0.222222 & 0.25 & 4.4e-05 \tabularnewline
[40000,45000[ & 42500 & 16 & 0.222222 & 0.472222 & 4.4e-05 \tabularnewline
[45000,50000[ & 47500 & 19 & 0.263889 & 0.736111 & 5.3e-05 \tabularnewline
[50000,55000[ & 52500 & 8 & 0.111111 & 0.847222 & 2.2e-05 \tabularnewline
[55000,60000[ & 57500 & 10 & 0.138889 & 0.986111 & 2.8e-05 \tabularnewline
[60000,65000] & 62500 & 1 & 0.013889 & 1 & 3e-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][30000,35000[[/C][C]32500[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]6e-06[/C][/ROW]
[ROW][C][35000,40000[[/C][C]37500[/C][C]16[/C][C]0.222222[/C][C]0.25[/C][C]4.4e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]16[/C][C]0.222222[/C][C]0.472222[/C][C]4.4e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]19[/C][C]0.263889[/C][C]0.736111[/C][C]5.3e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]8[/C][C]0.111111[/C][C]0.847222[/C][C]2.2e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]10[/C][C]0.138889[/C][C]0.986111[/C][C]2.8e-05[/C][/ROW]
[ROW][C][60000,65000][/C][C]62500[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]3e-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
[30000,35000[3250020.0277780.0277786e-06
[35000,40000[37500160.2222220.254.4e-05
[40000,45000[42500160.2222220.4722224.4e-05
[45000,50000[47500190.2638890.7361115.3e-05
[50000,55000[5250080.1111110.8472222.2e-05
[55000,60000[57500100.1388890.9861112.8e-05
[60000,65000]6250010.01388913e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = NWWZ ; par2 = www.nbb.be ; par3 = NWWZ jonger dan 25 jaar in het Vlaams Gewest (2010-2015) ; par4 = 12 ;
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')
}