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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 computationThu, 22 Sep 2016 12:19:34 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Sep/22/t1474543241zj9vf9b2nuk42t4.htm/, Retrieved Thu, 09 May 2024 00:28:05 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 09 May 2024 00:28:05 +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 
36808
37266
36879
38773
37653
38263
39974
38873
39307
39440
40326
40086
42103
42680
41447
43542
44878
44007
46362
48057
48567
49095
50383
49224
48645
50211
50491
48833
50792
50364
50978
52045
53118
53492
55014
56857
58654
57243
58762
61816
62196
63279
63623
67911
66443
67446
68553
68540
69273
71615
71754
72058
73357
72924
70194
70040
70078
68225
70234
68870
70081
70482
72906
72885
72102
76105

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
[35000,40000[37500100.1515150.1515153e-05
[40000,45000[4250080.1212120.2727272.4e-05
[45000,50000[4750070.1060610.3787882.1e-05
[50000,55000[5250090.1363640.5151522.7e-05
[55000,60000[5750050.0757580.5909091.5e-05
[60000,65000[6250040.0606060.6515151.2e-05
[65000,70000[6750080.1212120.7727272.4e-05
[70000,75000[72500140.2121210.9848484.2e-05
[75000,80000]7750010.01515213e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[35000,40000[ & 37500 & 10 & 0.151515 & 0.151515 & 3e-05 \tabularnewline
[40000,45000[ & 42500 & 8 & 0.121212 & 0.272727 & 2.4e-05 \tabularnewline
[45000,50000[ & 47500 & 7 & 0.106061 & 0.378788 & 2.1e-05 \tabularnewline
[50000,55000[ & 52500 & 9 & 0.136364 & 0.515152 & 2.7e-05 \tabularnewline
[55000,60000[ & 57500 & 5 & 0.075758 & 0.590909 & 1.5e-05 \tabularnewline
[60000,65000[ & 62500 & 4 & 0.060606 & 0.651515 & 1.2e-05 \tabularnewline
[65000,70000[ & 67500 & 8 & 0.121212 & 0.772727 & 2.4e-05 \tabularnewline
[70000,75000[ & 72500 & 14 & 0.212121 & 0.984848 & 4.2e-05 \tabularnewline
[75000,80000] & 77500 & 1 & 0.015152 & 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][35000,40000[[/C][C]37500[/C][C]10[/C][C]0.151515[/C][C]0.151515[/C][C]3e-05[/C][/ROW]
[ROW][C][40000,45000[[/C][C]42500[/C][C]8[/C][C]0.121212[/C][C]0.272727[/C][C]2.4e-05[/C][/ROW]
[ROW][C][45000,50000[[/C][C]47500[/C][C]7[/C][C]0.106061[/C][C]0.378788[/C][C]2.1e-05[/C][/ROW]
[ROW][C][50000,55000[[/C][C]52500[/C][C]9[/C][C]0.136364[/C][C]0.515152[/C][C]2.7e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]5[/C][C]0.075758[/C][C]0.590909[/C][C]1.5e-05[/C][/ROW]
[ROW][C][60000,65000[[/C][C]62500[/C][C]4[/C][C]0.060606[/C][C]0.651515[/C][C]1.2e-05[/C][/ROW]
[ROW][C][65000,70000[[/C][C]67500[/C][C]8[/C][C]0.121212[/C][C]0.772727[/C][C]2.4e-05[/C][/ROW]
[ROW][C][70000,75000[[/C][C]72500[/C][C]14[/C][C]0.212121[/C][C]0.984848[/C][C]4.2e-05[/C][/ROW]
[ROW][C][75000,80000][/C][C]77500[/C][C]1[/C][C]0.015152[/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
[35000,40000[37500100.1515150.1515153e-05
[40000,45000[4250080.1212120.2727272.4e-05
[45000,50000[4750070.1060610.3787882.1e-05
[50000,55000[5250090.1363640.5151522.7e-05
[55000,60000[5750050.0757580.5909091.5e-05
[60000,65000[6250040.0606060.6515151.2e-05
[65000,70000[6750080.1212120.7727272.4e-05
[70000,75000[72500140.2121210.9848484.2e-05
[75000,80000]7750010.01515213e-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')
}