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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, 07 Oct 2010 20:19:25 +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/2010/Oct/07/t1286482719bjx5fr1wg84dc68.htm/, Retrieved Tue, 30 Apr 2024 03:08:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81905, Retrieved Tue, 30 Apr 2024 03:08:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Goudprijs te Brus...] [2010-09-29 15:49:51] [e35ce2e7ec49602a729c3c8722e619b0]
- RMP     [Histogram] [Histogram Opdracht1] [2010-10-07 20:19:25] [9ecedc6075144b73bec317d56fadfdf0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10574
10653
10805
10872
10625
10407
10463
10556
10646
10702
11353
11346
11451
11964
12574
13031
13812
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18073
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
27390
26434
27525
30695
32436
30160
30236

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81905&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81905&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81905&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10000,12000[11000140.1917810.1917819.6e-05
[12000,14000[1300030.0410960.2328772.1e-05
[14000,16000[15000150.2054790.4383560.000103
[16000,18000[1700090.1232880.5616446.2e-05
[18000,20000[19000100.1369860.698636.8e-05
[20000,22000[2100080.1095890.8082195.5e-05
[22000,24000[2300040.0547950.8630142.7e-05
[24000,26000[2500030.0410960.904112.1e-05
[26000,28000[2700030.0410960.9452052.1e-05
[28000,30000[29000000.9452050
[30000,32000[3100030.0410960.9863012.1e-05
[32000,34000]3300010.01369917e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10000,12000[ & 11000 & 14 & 0.191781 & 0.191781 & 9.6e-05 \tabularnewline
[12000,14000[ & 13000 & 3 & 0.041096 & 0.232877 & 2.1e-05 \tabularnewline
[14000,16000[ & 15000 & 15 & 0.205479 & 0.438356 & 0.000103 \tabularnewline
[16000,18000[ & 17000 & 9 & 0.123288 & 0.561644 & 6.2e-05 \tabularnewline
[18000,20000[ & 19000 & 10 & 0.136986 & 0.69863 & 6.8e-05 \tabularnewline
[20000,22000[ & 21000 & 8 & 0.109589 & 0.808219 & 5.5e-05 \tabularnewline
[22000,24000[ & 23000 & 4 & 0.054795 & 0.863014 & 2.7e-05 \tabularnewline
[24000,26000[ & 25000 & 3 & 0.041096 & 0.90411 & 2.1e-05 \tabularnewline
[26000,28000[ & 27000 & 3 & 0.041096 & 0.945205 & 2.1e-05 \tabularnewline
[28000,30000[ & 29000 & 0 & 0 & 0.945205 & 0 \tabularnewline
[30000,32000[ & 31000 & 3 & 0.041096 & 0.986301 & 2.1e-05 \tabularnewline
[32000,34000] & 33000 & 1 & 0.013699 & 1 & 7e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81905&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][10000,12000[[/C][C]11000[/C][C]14[/C][C]0.191781[/C][C]0.191781[/C][C]9.6e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]3[/C][C]0.041096[/C][C]0.232877[/C][C]2.1e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]15[/C][C]0.205479[/C][C]0.438356[/C][C]0.000103[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]9[/C][C]0.123288[/C][C]0.561644[/C][C]6.2e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]10[/C][C]0.136986[/C][C]0.69863[/C][C]6.8e-05[/C][/ROW]
[ROW][C][20000,22000[[/C][C]21000[/C][C]8[/C][C]0.109589[/C][C]0.808219[/C][C]5.5e-05[/C][/ROW]
[ROW][C][22000,24000[[/C][C]23000[/C][C]4[/C][C]0.054795[/C][C]0.863014[/C][C]2.7e-05[/C][/ROW]
[ROW][C][24000,26000[[/C][C]25000[/C][C]3[/C][C]0.041096[/C][C]0.90411[/C][C]2.1e-05[/C][/ROW]
[ROW][C][26000,28000[[/C][C]27000[/C][C]3[/C][C]0.041096[/C][C]0.945205[/C][C]2.1e-05[/C][/ROW]
[ROW][C][28000,30000[[/C][C]29000[/C][C]0[/C][C]0[/C][C]0.945205[/C][C]0[/C][/ROW]
[ROW][C][30000,32000[[/C][C]31000[/C][C]3[/C][C]0.041096[/C][C]0.986301[/C][C]2.1e-05[/C][/ROW]
[ROW][C][32000,34000][/C][C]33000[/C][C]1[/C][C]0.013699[/C][C]1[/C][C]7e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81905&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81905&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
[10000,12000[11000140.1917810.1917819.6e-05
[12000,14000[1300030.0410960.2328772.1e-05
[14000,16000[15000150.2054790.4383560.000103
[16000,18000[1700090.1232880.5616446.2e-05
[18000,20000[19000100.1369860.698636.8e-05
[20000,22000[2100080.1095890.8082195.5e-05
[22000,24000[2300040.0547950.8630142.7e-05
[24000,26000[2500030.0410960.904112.1e-05
[26000,28000[2700030.0410960.9452052.1e-05
[28000,30000[29000000.9452050
[30000,32000[3100030.0410960.9863012.1e-05
[32000,34000]3300010.01369917e-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 {
plot(mytab <- table(x),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')
}