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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 computationMon, 01 Aug 2016 18:19:14 +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/Aug/01/t1470072000mz2s3mb5efugrab.htm/, Retrieved Mon, 29 Apr 2024 09:10:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295996, Retrieved Mon, 29 Apr 2024 09:10:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Braadoven Omzet -...] [2016-08-01 17:19:14] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7175
7048,75
6922,5
6670
9225
9098,75
7175
5897,5
6023,75
6023,75
6150
6416,25
5645
4872,5
4240
4240
6670
6922,5
4998,75
2822,5
3973,75
3973,75
4872,5
5391,25
5265
3973,75
4620
4366,25
6542,5
6023,75
3973,75
2442,5
3847,5
4240
4620
5125
4100
3215
3595
3721,25
7048,75
7048,75
5125
4872,5
5645
5265
6290
7567,5
7821,25
6023,75
5517,5
4998,75
8466,25
8720
8073,75
8720
8592,5
7567,5
8720
9997,5
10516,25
8972,5
7947,5
8720
12047,5
13072,5
12820
13325
13198,75
11921,25
14097,5
14616,25
15375
13072,5
12173,75
13198,75
15641,25
17817,5
17298,75
17298,75
17552,5
16666,25
18970
18970
18577,5
16400
16792,5
17046,25
18716,25
20892,5
19348,75
20121,25
19475
19096,25
22045
21398,75
20500
19222,5
20500
21146,25
21917,5
22942,5
21917,5
22550
21778,75
21652,5
24853,75
25120
24095
22297,5
23828,75
24473,75
25246,25
26397,5
25246,25
26145
25752,5
24347,5
27296,25
27296,25

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295996&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295996&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,5000[2500220.1833330.1833333.7e-05
[5000,10000[7500410.3416670.5256.8e-05
[10000,15000[12500120.10.6252e-05
[15000,20000[17500180.150.7753e-05
[20000,25000[22500190.1583330.9333333.2e-05
[25000,30000]2750080.06666711.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,5000[ & 2500 & 22 & 0.183333 & 0.183333 & 3.7e-05 \tabularnewline
[5000,10000[ & 7500 & 41 & 0.341667 & 0.525 & 6.8e-05 \tabularnewline
[10000,15000[ & 12500 & 12 & 0.1 & 0.625 & 2e-05 \tabularnewline
[15000,20000[ & 17500 & 18 & 0.15 & 0.775 & 3e-05 \tabularnewline
[20000,25000[ & 22500 & 19 & 0.158333 & 0.933333 & 3.2e-05 \tabularnewline
[25000,30000] & 27500 & 8 & 0.066667 & 1 & 1.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295996&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][0,5000[[/C][C]2500[/C][C]22[/C][C]0.183333[/C][C]0.183333[/C][C]3.7e-05[/C][/ROW]
[ROW][C][5000,10000[[/C][C]7500[/C][C]41[/C][C]0.341667[/C][C]0.525[/C][C]6.8e-05[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]12[/C][C]0.1[/C][C]0.625[/C][C]2e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]18[/C][C]0.15[/C][C]0.775[/C][C]3e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]19[/C][C]0.158333[/C][C]0.933333[/C][C]3.2e-05[/C][/ROW]
[ROW][C][25000,30000][/C][C]27500[/C][C]8[/C][C]0.066667[/C][C]1[/C][C]1.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295996&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
[0,5000[2500220.1833330.1833333.7e-05
[5000,10000[7500410.3416670.5256.8e-05
[10000,15000[12500120.10.6252e-05
[15000,20000[17500180.150.7753e-05
[20000,25000[22500190.1583330.9333333.2e-05
[25000,30000]2750080.06666711.3e-05


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')
}