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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, 16 Feb 2012 07:27:24 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/16/t1329395320tsfjtnc87hbngup.htm/, Retrieved Sat, 27 Apr 2024 22:50:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162638, Retrieved Sat, 27 Apr 2024 22:50:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2MO
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [max prijs ] [2012-02-16 12:27:24] [6bc76992abd60365a139c3a4f687f4e1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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15

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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162638&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]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162638&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162638&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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[110.0009820.0009820.000491
[2,4[3000.0009820
[4,6[5000.0009820
[6,8[7000.0009820
[8,10[9000.0009820
[10,12[1120.0019650.0029470.000982
[12,14[1320.0019650.0049120.000982
[14,16[15160.0157170.0206290.007859
[16,18[17000.0206290
[18,20[1940.0039290.0245580.001965
[20,22[21570.0559920.080550.027996
[22,24[23120.0117880.0923380.005894
[24,26[251470.1444010.2367390.0722
[26,28[27250.0245580.2612970.012279
[28,30[29790.0776030.33890.038802
[30,32[314770.4685660.8074660.234283
[32,34[3390.0088410.8163060.00442
[34,36[35870.0854620.9017680.042731
[36,38[3720.0019650.9037330.000982
[38,40[39000.9037330
[40,42[41540.0530450.9567780.026523
[42,44[4310.0009820.957760.000491
[44,46[4580.0078590.9656190.003929
[46,48[4710.0009820.9666010.000491
[48,50[49000.9666010
[50,52[51330.0324170.9990180.016208
[52,54[53000.9990180
[54,56[55000.9990180
[56,58[57000.9990180
[58,60]5910.00098210.000491

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 1 & 0.000982 & 0.000982 & 0.000491 \tabularnewline
[2,4[ & 3 & 0 & 0 & 0.000982 & 0 \tabularnewline
[4,6[ & 5 & 0 & 0 & 0.000982 & 0 \tabularnewline
[6,8[ & 7 & 0 & 0 & 0.000982 & 0 \tabularnewline
[8,10[ & 9 & 0 & 0 & 0.000982 & 0 \tabularnewline
[10,12[ & 11 & 2 & 0.001965 & 0.002947 & 0.000982 \tabularnewline
[12,14[ & 13 & 2 & 0.001965 & 0.004912 & 0.000982 \tabularnewline
[14,16[ & 15 & 16 & 0.015717 & 0.020629 & 0.007859 \tabularnewline
[16,18[ & 17 & 0 & 0 & 0.020629 & 0 \tabularnewline
[18,20[ & 19 & 4 & 0.003929 & 0.024558 & 0.001965 \tabularnewline
[20,22[ & 21 & 57 & 0.055992 & 0.08055 & 0.027996 \tabularnewline
[22,24[ & 23 & 12 & 0.011788 & 0.092338 & 0.005894 \tabularnewline
[24,26[ & 25 & 147 & 0.144401 & 0.236739 & 0.0722 \tabularnewline
[26,28[ & 27 & 25 & 0.024558 & 0.261297 & 0.012279 \tabularnewline
[28,30[ & 29 & 79 & 0.077603 & 0.3389 & 0.038802 \tabularnewline
[30,32[ & 31 & 477 & 0.468566 & 0.807466 & 0.234283 \tabularnewline
[32,34[ & 33 & 9 & 0.008841 & 0.816306 & 0.00442 \tabularnewline
[34,36[ & 35 & 87 & 0.085462 & 0.901768 & 0.042731 \tabularnewline
[36,38[ & 37 & 2 & 0.001965 & 0.903733 & 0.000982 \tabularnewline
[38,40[ & 39 & 0 & 0 & 0.903733 & 0 \tabularnewline
[40,42[ & 41 & 54 & 0.053045 & 0.956778 & 0.026523 \tabularnewline
[42,44[ & 43 & 1 & 0.000982 & 0.95776 & 0.000491 \tabularnewline
[44,46[ & 45 & 8 & 0.007859 & 0.965619 & 0.003929 \tabularnewline
[46,48[ & 47 & 1 & 0.000982 & 0.966601 & 0.000491 \tabularnewline
[48,50[ & 49 & 0 & 0 & 0.966601 & 0 \tabularnewline
[50,52[ & 51 & 33 & 0.032417 & 0.999018 & 0.016208 \tabularnewline
[52,54[ & 53 & 0 & 0 & 0.999018 & 0 \tabularnewline
[54,56[ & 55 & 0 & 0 & 0.999018 & 0 \tabularnewline
[56,58[ & 57 & 0 & 0 & 0.999018 & 0 \tabularnewline
[58,60] & 59 & 1 & 0.000982 & 1 & 0.000491 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162638&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][0,2[[/C][C]1[/C][C]1[/C][C]0.000982[/C][C]0.000982[/C][C]0.000491[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]0[/C][C]0[/C][C]0.000982[/C][C]0[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]0[/C][C]0[/C][C]0.000982[/C][C]0[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]0[/C][C]0[/C][C]0.000982[/C][C]0[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]0[/C][C]0[/C][C]0.000982[/C][C]0[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]2[/C][C]0.001965[/C][C]0.002947[/C][C]0.000982[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]2[/C][C]0.001965[/C][C]0.004912[/C][C]0.000982[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]16[/C][C]0.015717[/C][C]0.020629[/C][C]0.007859[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]0[/C][C]0[/C][C]0.020629[/C][C]0[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]4[/C][C]0.003929[/C][C]0.024558[/C][C]0.001965[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]57[/C][C]0.055992[/C][C]0.08055[/C][C]0.027996[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]12[/C][C]0.011788[/C][C]0.092338[/C][C]0.005894[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]147[/C][C]0.144401[/C][C]0.236739[/C][C]0.0722[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]25[/C][C]0.024558[/C][C]0.261297[/C][C]0.012279[/C][/ROW]
[ROW][C][28,30[[/C][C]29[/C][C]79[/C][C]0.077603[/C][C]0.3389[/C][C]0.038802[/C][/ROW]
[ROW][C][30,32[[/C][C]31[/C][C]477[/C][C]0.468566[/C][C]0.807466[/C][C]0.234283[/C][/ROW]
[ROW][C][32,34[[/C][C]33[/C][C]9[/C][C]0.008841[/C][C]0.816306[/C][C]0.00442[/C][/ROW]
[ROW][C][34,36[[/C][C]35[/C][C]87[/C][C]0.085462[/C][C]0.901768[/C][C]0.042731[/C][/ROW]
[ROW][C][36,38[[/C][C]37[/C][C]2[/C][C]0.001965[/C][C]0.903733[/C][C]0.000982[/C][/ROW]
[ROW][C][38,40[[/C][C]39[/C][C]0[/C][C]0[/C][C]0.903733[/C][C]0[/C][/ROW]
[ROW][C][40,42[[/C][C]41[/C][C]54[/C][C]0.053045[/C][C]0.956778[/C][C]0.026523[/C][/ROW]
[ROW][C][42,44[[/C][C]43[/C][C]1[/C][C]0.000982[/C][C]0.95776[/C][C]0.000491[/C][/ROW]
[ROW][C][44,46[[/C][C]45[/C][C]8[/C][C]0.007859[/C][C]0.965619[/C][C]0.003929[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]1[/C][C]0.000982[/C][C]0.966601[/C][C]0.000491[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]0[/C][C]0[/C][C]0.966601[/C][C]0[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]33[/C][C]0.032417[/C][C]0.999018[/C][C]0.016208[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]0[/C][C]0[/C][C]0.999018[/C][C]0[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]0[/C][C]0[/C][C]0.999018[/C][C]0[/C][/ROW]
[ROW][C][56,58[[/C][C]57[/C][C]0[/C][C]0[/C][C]0.999018[/C][C]0[/C][/ROW]
[ROW][C][58,60][/C][C]59[/C][C]1[/C][C]0.000982[/C][C]1[/C][C]0.000491[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162638&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162638&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
[0,2[110.0009820.0009820.000491
[2,4[3000.0009820
[4,6[5000.0009820
[6,8[7000.0009820
[8,10[9000.0009820
[10,12[1120.0019650.0029470.000982
[12,14[1320.0019650.0049120.000982
[14,16[15160.0157170.0206290.007859
[16,18[17000.0206290
[18,20[1940.0039290.0245580.001965
[20,22[21570.0559920.080550.027996
[22,24[23120.0117880.0923380.005894
[24,26[251470.1444010.2367390.0722
[26,28[27250.0245580.2612970.012279
[28,30[29790.0776030.33890.038802
[30,32[314770.4685660.8074660.234283
[32,34[3390.0088410.8163060.00442
[34,36[35870.0854620.9017680.042731
[36,38[3720.0019650.9037330.000982
[38,40[39000.9037330
[40,42[41540.0530450.9567780.026523
[42,44[4310.0009820.957760.000491
[44,46[4580.0078590.9656190.003929
[46,48[4710.0009820.9666010.000491
[48,50[49000.9666010
[50,52[51330.0324170.9990180.016208
[52,54[53000.9990180
[54,56[55000.9990180
[56,58[57000.9990180
[58,60]5910.00098210.000491


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; 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')
}