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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, 19 Jul 2010 17:20:11 +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/19/t1279560090z6ac8617b8kavnk.htm/, Retrieved Fri, 03 May 2024 06:17:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78025, Retrieved Fri, 03 May 2024 06:17:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Puyenbroeck Cassandra
Estimated Impact207

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] [2010-07-19 17:20:11] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
408
407
406
404
402
401
402
404
405
405
406
408
405
400
402
404
410
402
400
392
390
397
394
397
400
395
391
392
395
386
385
372
367
364
364
368
370
357
350
353
353
348
337
322
315
316
317
326
329
310
301
299
300
295
274
258
250
247
248
256
253
237
225
214
221
221
207
194
191
185
180
185
189
179
162
148
152
151
134
122
119
115
113
109

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78025&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78025&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78025&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' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,150[12570.0833330.0833330.001667
[150,200[175100.1190480.2023810.002381
[200,250[22580.0952380.2976190.001905
[250,300[27570.0833330.3809520.001667
[300,350[325110.1309520.5119050.002619
[350,400[375210.250.7619050.005
[400,450]425200.23809510.004762

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,150[ & 125 & 7 & 0.083333 & 0.083333 & 0.001667 \tabularnewline
[150,200[ & 175 & 10 & 0.119048 & 0.202381 & 0.002381 \tabularnewline
[200,250[ & 225 & 8 & 0.095238 & 0.297619 & 0.001905 \tabularnewline
[250,300[ & 275 & 7 & 0.083333 & 0.380952 & 0.001667 \tabularnewline
[300,350[ & 325 & 11 & 0.130952 & 0.511905 & 0.002619 \tabularnewline
[350,400[ & 375 & 21 & 0.25 & 0.761905 & 0.005 \tabularnewline
[400,450] & 425 & 20 & 0.238095 & 1 & 0.004762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78025&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]7[/C][C]0.083333[/C][C]0.083333[/C][C]0.001667[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]10[/C][C]0.119048[/C][C]0.202381[/C][C]0.002381[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]8[/C][C]0.095238[/C][C]0.297619[/C][C]0.001905[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]7[/C][C]0.083333[/C][C]0.380952[/C][C]0.001667[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]11[/C][C]0.130952[/C][C]0.511905[/C][C]0.002619[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]21[/C][C]0.25[/C][C]0.761905[/C][C]0.005[/C][/ROW]
[ROW][C][400,450][/C][C]425[/C][C]20[/C][C]0.238095[/C][C]1[/C][C]0.004762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78025&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78025&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[12570.0833330.0833330.001667
[150,200[175100.1190480.2023810.002381
[200,250[22580.0952380.2976190.001905
[250,300[27570.0833330.3809520.001667
[300,350[325110.1309520.5119050.002619
[350,400[375210.250.7619050.005
[400,450]425200.23809510.004762


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')