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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 computationWed, 04 Aug 2010 13:31:30 +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/04/t1280928689x5vpjwhpk6xpmpz.htm/, Retrieved Fri, 03 May 2024 10:42:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78315, Retrieved Fri, 03 May 2024 10:42:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBogaerts Yannik
Estimated Impact139

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] [2010-08-04 13:31:30] [1596366c2ece8f787477cc7d1246d4c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83
82
81
79
77
76
77
79
80
80
81
83
83
76
77
72
64
70
69
78
84
91
96
101
99
98
98
97
92
106
100
107
111
115
117
120
117
108
111
118
113
129
122
135
146
151
147
151
156
144
151
159
148
170
163
179
184
192
197
199
205
194
200
211
211
230
229
236
239
250
254
254
264
258
264
277
274
284
279
290
287
297
302
294

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=78315&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=78315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78315&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
[50,100[75280.3333330.3333330.006667
[100,150[125200.2380950.5714290.004762
[150,200[175130.1547620.726190.003095
[200,250[22580.0952380.8214290.001905
[250,300[275140.1666670.9880950.003333
[300,350]32510.01190510.000238

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,100[ & 75 & 28 & 0.333333 & 0.333333 & 0.006667 \tabularnewline
[100,150[ & 125 & 20 & 0.238095 & 0.571429 & 0.004762 \tabularnewline
[150,200[ & 175 & 13 & 0.154762 & 0.72619 & 0.003095 \tabularnewline
[200,250[ & 225 & 8 & 0.095238 & 0.821429 & 0.001905 \tabularnewline
[250,300[ & 275 & 14 & 0.166667 & 0.988095 & 0.003333 \tabularnewline
[300,350] & 325 & 1 & 0.011905 & 1 & 0.000238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78315&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][50,100[[/C][C]75[/C][C]28[/C][C]0.333333[/C][C]0.333333[/C][C]0.006667[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]20[/C][C]0.238095[/C][C]0.571429[/C][C]0.004762[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]13[/C][C]0.154762[/C][C]0.72619[/C][C]0.003095[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]8[/C][C]0.095238[/C][C]0.821429[/C][C]0.001905[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]14[/C][C]0.166667[/C][C]0.988095[/C][C]0.003333[/C][/ROW]
[ROW][C][300,350][/C][C]325[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]0.000238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78315&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
[50,100[75280.3333330.3333330.006667
[100,150[125200.2380950.5714290.004762
[150,200[175130.1547620.726190.003095
[200,250[22580.0952380.8214290.001905
[250,300[275140.1666670.9880950.003333
[300,350]32510.01190510.000238


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')