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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 07 Dec 2010 09:05:36 +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/Dec/07/t1291712666gzj07pr0ng88sas.htm/, Retrieved Fri, 03 May 2024 22:34:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=106042, Retrieved Fri, 03 May 2024 22:34:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Faillissementen W...] [2010-12-07 09:05:36] [9003764b6a75599accb6eea9154ba195] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
182
213
227
209
219
221
114
97
205
215
224
189
182
201
198
173
238
258
122
101
259
243
188
173
224
215
196
159
187
208
131
93
210
228
176
195
188
188
190
188
176
225
93
79
235
247
195
197
211
156
209
180
185
303
129
85
249
231
212
240
234
217
287
221
208
241
156
96
320
242
227
200

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106042&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]2 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=106042&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106042&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,80[7010.0138890.0138890.000694
[80,100[9050.0694440.0833330.003472
[100,120[11020.0277780.1111110.001389
[120,140[13030.0416670.1527780.002083
[140,160[15030.0416670.1944440.002083
[160,180[17040.0555560.250.002778
[180,200[190160.2222220.4722220.011111
[200,220[210150.2083330.6805560.010417
[220,240[230120.1666670.8472220.008333
[240,260[25080.1111110.9583330.005556
[260,280[270000.9583330
[280,300[29010.0138890.9722220.000694
[300,320]31020.02777810.001389

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 1 & 0.013889 & 0.013889 & 0.000694 \tabularnewline
[80,100[ & 90 & 5 & 0.069444 & 0.083333 & 0.003472 \tabularnewline
[100,120[ & 110 & 2 & 0.027778 & 0.111111 & 0.001389 \tabularnewline
[120,140[ & 130 & 3 & 0.041667 & 0.152778 & 0.002083 \tabularnewline
[140,160[ & 150 & 3 & 0.041667 & 0.194444 & 0.002083 \tabularnewline
[160,180[ & 170 & 4 & 0.055556 & 0.25 & 0.002778 \tabularnewline
[180,200[ & 190 & 16 & 0.222222 & 0.472222 & 0.011111 \tabularnewline
[200,220[ & 210 & 15 & 0.208333 & 0.680556 & 0.010417 \tabularnewline
[220,240[ & 230 & 12 & 0.166667 & 0.847222 & 0.008333 \tabularnewline
[240,260[ & 250 & 8 & 0.111111 & 0.958333 & 0.005556 \tabularnewline
[260,280[ & 270 & 0 & 0 & 0.958333 & 0 \tabularnewline
[280,300[ & 290 & 1 & 0.013889 & 0.972222 & 0.000694 \tabularnewline
[300,320] & 310 & 2 & 0.027778 & 1 & 0.001389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=106042&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][60,80[[/C][C]70[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.000694[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]5[/C][C]0.069444[/C][C]0.083333[/C][C]0.003472[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]2[/C][C]0.027778[/C][C]0.111111[/C][C]0.001389[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]3[/C][C]0.041667[/C][C]0.152778[/C][C]0.002083[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]3[/C][C]0.041667[/C][C]0.194444[/C][C]0.002083[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]4[/C][C]0.055556[/C][C]0.25[/C][C]0.002778[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]16[/C][C]0.222222[/C][C]0.472222[/C][C]0.011111[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]15[/C][C]0.208333[/C][C]0.680556[/C][C]0.010417[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]12[/C][C]0.166667[/C][C]0.847222[/C][C]0.008333[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]8[/C][C]0.111111[/C][C]0.958333[/C][C]0.005556[/C][/ROW]
[ROW][C][260,280[[/C][C]270[/C][C]0[/C][C]0[/C][C]0.958333[/C][C]0[/C][/ROW]
[ROW][C][280,300[[/C][C]290[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]0.000694[/C][/ROW]
[ROW][C][300,320][/C][C]310[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.001389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=106042&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=106042&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
[60,80[7010.0138890.0138890.000694
[80,100[9050.0694440.0833330.003472
[100,120[11020.0277780.1111110.001389
[120,140[13030.0416670.1527780.002083
[140,160[15030.0416670.1944440.002083
[160,180[17040.0555560.250.002778
[180,200[190160.2222220.4722220.011111
[200,220[210150.2083330.6805560.010417
[220,240[230120.1666670.8472220.008333
[240,260[25080.1111110.9583330.005556
[260,280[270000.9583330
[280,300[29010.0138890.9722220.000694
[300,320]31020.02777810.001389


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 15 ; 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')
}