FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 10 Aug 2010 17:24:01 +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/Aug/10/t128146102237r88uxa2y3wvzw.htm/, Retrieved Sat, 04 May 2024 20:25:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78605, Retrieved Sat, 04 May 2024 20:25:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPlatini Olivier
Estimated Impact127

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks B - Stap 2] [2010-08-10 17:24:01] [0d1085ed835696cdd537ad5fa07600ec] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
335
334
333
331
329
328
329
331
332
332
333
335
335
333
325
322
322
315
321
324
329
332
322
324
324
323
309
306
305
300
301
302
308
311
301
301
308
302
290
286
286
275
284
289
292
293
285
280
281
280
265
260
254
238
247
246
247
237
222
216
212
209
185
186
178
158
166
162
164
147
132
124
117
120
89
81
71
52
63
62
74
67
53
42

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78605&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78605&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[2510.0119050.0119050.000238
[50,100[7590.1071430.1190480.002143
[100,150[12550.0595240.1785710.00119
[150,200[17570.0833330.2619050.001667
[200,250[22590.1071430.3690480.002143
[250,300[275150.1785710.5476190.003571
[300,350]325380.45238110.009048

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 1 & 0.011905 & 0.011905 & 0.000238 \tabularnewline
[50,100[ & 75 & 9 & 0.107143 & 0.119048 & 0.002143 \tabularnewline
[100,150[ & 125 & 5 & 0.059524 & 0.178571 & 0.00119 \tabularnewline
[150,200[ & 175 & 7 & 0.083333 & 0.261905 & 0.001667 \tabularnewline
[200,250[ & 225 & 9 & 0.107143 & 0.369048 & 0.002143 \tabularnewline
[250,300[ & 275 & 15 & 0.178571 & 0.547619 & 0.003571 \tabularnewline
[300,350] & 325 & 38 & 0.452381 & 1 & 0.009048 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78605&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][0,50[[/C][C]25[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.000238[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]9[/C][C]0.107143[/C][C]0.119048[/C][C]0.002143[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]5[/C][C]0.059524[/C][C]0.178571[/C][C]0.00119[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]7[/C][C]0.083333[/C][C]0.261905[/C][C]0.001667[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]9[/C][C]0.107143[/C][C]0.369048[/C][C]0.002143[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]15[/C][C]0.178571[/C][C]0.547619[/C][C]0.003571[/C][/ROW]
[ROW][C][300,350][/C][C]325[/C][C]38[/C][C]0.452381[/C][C]1[/C][C]0.009048[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78605&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
[0,50[2510.0119050.0119050.000238
[50,100[7590.1071430.1190480.002143
[100,150[12550.0595240.1785710.00119
[150,200[17570.0833330.2619050.001667
[200,250[22590.1071430.3690480.002143
[250,300[275150.1785710.5476190.003571
[300,350]325380.45238110.009048


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')