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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 computationSun, 20 Feb 2011 16:06:32 +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/2011/Feb/20/t129821805162wvrocxxb3asu1.htm/, Retrieved Sun, 19 May 2024 17:12:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118484, Retrieved Sun, 19 May 2024 17:12:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Goudkoers frequen...] [2011-02-20 16:06:32] [aed5d0e78041812ce1956702c048a67f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.900
31.815
31.075
31.070
31.300
31.410
30.310
31.440
31.355
31.380
31.975
31.905
32.565
32.780
32.850
32.910
32.910
33.755
34.130
34.330
34.120
33.600
33.715
33.535
33.745
34.295
33.940
34.245
34.395
33.640
33.890
33.905
33.930
33.975
33.880
33.800
33.165
33.660
33.545
33.590
33.810
33.720
33.660
33.915
34.265
34.175
33.735
33.855
34.210
33.950
33.130
32.195
33.160
33.255
32.260
31.795
31.875
31.985
31.835
32.200
32.275
32.515
32.700
32.680
32.135
31.460
30.755
31.090
31.270
31.110
30.835
31.025
30.800
30.790

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' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118484&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118484&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118484&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' @ www.wessa.org






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[30,30.5[30.2510.0135140.0135140.027027
[30.5,31[30.7540.0540540.0675680.108108
[31,31.5[31.25120.1621620.229730.324324
[31.5,32[31.7580.1081080.3378380.216216
[32,32.5[32.2550.0675680.4054050.135135
[32.5,33[32.7580.1081080.5135140.216216
[33,33.5[33.2540.0540540.5675680.108108
[33.5,34[33.75230.3108110.8783780.621622
[34,34.5]34.2590.12162210.243243

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[30,30.5[ & 30.25 & 1 & 0.013514 & 0.013514 & 0.027027 \tabularnewline
[30.5,31[ & 30.75 & 4 & 0.054054 & 0.067568 & 0.108108 \tabularnewline
[31,31.5[ & 31.25 & 12 & 0.162162 & 0.22973 & 0.324324 \tabularnewline
[31.5,32[ & 31.75 & 8 & 0.108108 & 0.337838 & 0.216216 \tabularnewline
[32,32.5[ & 32.25 & 5 & 0.067568 & 0.405405 & 0.135135 \tabularnewline
[32.5,33[ & 32.75 & 8 & 0.108108 & 0.513514 & 0.216216 \tabularnewline
[33,33.5[ & 33.25 & 4 & 0.054054 & 0.567568 & 0.108108 \tabularnewline
[33.5,34[ & 33.75 & 23 & 0.310811 & 0.878378 & 0.621622 \tabularnewline
[34,34.5] & 34.25 & 9 & 0.121622 & 1 & 0.243243 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118484&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][30,30.5[[/C][C]30.25[/C][C]1[/C][C]0.013514[/C][C]0.013514[/C][C]0.027027[/C][/ROW]
[ROW][C][30.5,31[[/C][C]30.75[/C][C]4[/C][C]0.054054[/C][C]0.067568[/C][C]0.108108[/C][/ROW]
[ROW][C][31,31.5[[/C][C]31.25[/C][C]12[/C][C]0.162162[/C][C]0.22973[/C][C]0.324324[/C][/ROW]
[ROW][C][31.5,32[[/C][C]31.75[/C][C]8[/C][C]0.108108[/C][C]0.337838[/C][C]0.216216[/C][/ROW]
[ROW][C][32,32.5[[/C][C]32.25[/C][C]5[/C][C]0.067568[/C][C]0.405405[/C][C]0.135135[/C][/ROW]
[ROW][C][32.5,33[[/C][C]32.75[/C][C]8[/C][C]0.108108[/C][C]0.513514[/C][C]0.216216[/C][/ROW]
[ROW][C][33,33.5[[/C][C]33.25[/C][C]4[/C][C]0.054054[/C][C]0.567568[/C][C]0.108108[/C][/ROW]
[ROW][C][33.5,34[[/C][C]33.75[/C][C]23[/C][C]0.310811[/C][C]0.878378[/C][C]0.621622[/C][/ROW]
[ROW][C][34,34.5][/C][C]34.25[/C][C]9[/C][C]0.121622[/C][C]1[/C][C]0.243243[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118484&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118484&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
[30,30.5[30.2510.0135140.0135140.027027
[30.5,31[30.7540.0540540.0675680.108108
[31,31.5[31.25120.1621620.229730.324324
[31.5,32[31.7580.1081080.3378380.216216
[32,32.5[32.2550.0675680.4054050.135135
[32.5,33[32.7580.1081080.5135140.216216
[33,33.5[33.2540.0540540.5675680.108108
[33.5,34[33.75230.3108110.8783780.621622
[34,34.5]34.2590.12162210.243243


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = red ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = red ; 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')
}