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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, 26 Jul 2010 11:00:20 +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/Jul/26/t1280142008yuqqxysow64m2oi.htm/, Retrieved Sun, 10 Nov 2024 19:50:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78103, Retrieved Sun, 10 Nov 2024 19:50:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHabimana Christelle
Estimated Impact212

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks 2 - Stap 2] [2010-07-26 11:00:20] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
376
375
374
372
370
369
370
372
373
373
374
376
371
374
369
363
357
366
362
366
361
362
358
363
360
360
348
345
332
333
323
327
332
337
336
337
343
337
326
321
309
302
293
287
292
292
289
302
310
295
276
264
257
243
227
226
226
229
224
240
244
226
208
199
193
180
167
164
166
173
169
191
193
166
143
147
139
129
115
108
106
116
108
135

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 19 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78103&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]19 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78103&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78103&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 time19 seconds
R Server'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,150[125100.1190480.1190480.002381
[150,200[175110.1309520.250.002619
[200,250[225100.1190480.3690480.002381
[250,300[27590.1071430.476190.002143
[300,350[325180.2142860.6904760.004286
[350,400]375260.30952410.00619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,150[ & 125 & 10 & 0.119048 & 0.119048 & 0.002381 \tabularnewline
[150,200[ & 175 & 11 & 0.130952 & 0.25 & 0.002619 \tabularnewline
[200,250[ & 225 & 10 & 0.119048 & 0.369048 & 0.002381 \tabularnewline
[250,300[ & 275 & 9 & 0.107143 & 0.47619 & 0.002143 \tabularnewline
[300,350[ & 325 & 18 & 0.214286 & 0.690476 & 0.004286 \tabularnewline
[350,400] & 375 & 26 & 0.309524 & 1 & 0.00619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78103&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][100,150[[/C][C]125[/C][C]10[/C][C]0.119048[/C][C]0.119048[/C][C]0.002381[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]11[/C][C]0.130952[/C][C]0.25[/C][C]0.002619[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]10[/C][C]0.119048[/C][C]0.369048[/C][C]0.002381[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]9[/C][C]0.107143[/C][C]0.47619[/C][C]0.002143[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]18[/C][C]0.214286[/C][C]0.690476[/C][C]0.004286[/C][/ROW]
[ROW][C][350,400][/C][C]375[/C][C]26[/C][C]0.309524[/C][C]1[/C][C]0.00619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78103&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78103&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
[100,150[125100.1190480.1190480.002381
[150,200[175110.1309520.250.002619
[200,250[225100.1190480.3690480.002381
[250,300[27590.1071430.476190.002143
[300,350[325180.2142860.6904760.004286
[350,400]375260.30952410.00619


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.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)
}
dev.off()
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')