Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 19 Aug 2008 09:29:54 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Aug/19/t1219159882zjqjhliow3742f9.htm/, Retrieved Sun, 19 May 2024 01:08:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14247, Retrieved Sun, 19 May 2024 01:08:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact281
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [gemiddelde consum...] [2008-08-19 15:29:54] [0d1085ed835696cdd537ad5fa07600ec] [Current]
Feedback Forum

Post a new message
Dataseries X:
28.56
25.19
25.95
25.12
24.82
26.18
26.49
26.67
26.44
24.33
24.46
21.86
23.57
22.56
23.02
21.45
22.17
24.32
22.92
22.26
20.69
19.97
19.71
20.11
20.98
20.1
20.61
20.27
20.08
23.58
22.31
22.89
21.78
22.19
22.58
22.78
25.06
25.16
25.47
25.34
24.2
25.32
25.57
25.76
24.79
23.14
22.66
22.06
24.26
23.15
22.92
21.43
21.56
23.48
24.35
24.83
24.19
23.58
23.58
24.35
27.18
25.69
24.81
23.26
23.49
26.86
27.12
27.66
26.26
25.51
24.63
23.57
27.63
25.85
26.09
24.47
24.19
25.09
25.26
25.58
24.76
25.02
24.24
24.14
28.69
26.74
26.48
24.45
23.88
26.58
26.23
28.63
26.81
26.56
26.64
26.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time61 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 & 61 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14247&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]61 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=14247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14247&T=0

As an alternative you can also use a 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 time61 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[19,20[19.520.0208330.0208330.020833
[20,21[20.570.0729170.093750.072917
[21,22[21.550.0520830.1458330.052083
[22,23[22.5120.1250.2708330.125
[23,24[23.5120.1250.3958330.125
[24,25[24.5190.1979170.593750.197917
[25,26[25.5170.1770830.7708330.177083
[26,27[26.5150.156250.9270830.15625
[27,28[27.540.0416670.968750.041667
[28,29]28.530.0312510.03125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[19,20[ & 19.5 & 2 & 0.020833 & 0.020833 & 0.020833 \tabularnewline
[20,21[ & 20.5 & 7 & 0.072917 & 0.09375 & 0.072917 \tabularnewline
[21,22[ & 21.5 & 5 & 0.052083 & 0.145833 & 0.052083 \tabularnewline
[22,23[ & 22.5 & 12 & 0.125 & 0.270833 & 0.125 \tabularnewline
[23,24[ & 23.5 & 12 & 0.125 & 0.395833 & 0.125 \tabularnewline
[24,25[ & 24.5 & 19 & 0.197917 & 0.59375 & 0.197917 \tabularnewline
[25,26[ & 25.5 & 17 & 0.177083 & 0.770833 & 0.177083 \tabularnewline
[26,27[ & 26.5 & 15 & 0.15625 & 0.927083 & 0.15625 \tabularnewline
[27,28[ & 27.5 & 4 & 0.041667 & 0.96875 & 0.041667 \tabularnewline
[28,29] & 28.5 & 3 & 0.03125 & 1 & 0.03125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14247&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][19,20[[/C][C]19.5[/C][C]2[/C][C]0.020833[/C][C]0.020833[/C][C]0.020833[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]7[/C][C]0.072917[/C][C]0.09375[/C][C]0.072917[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]5[/C][C]0.052083[/C][C]0.145833[/C][C]0.052083[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]12[/C][C]0.125[/C][C]0.270833[/C][C]0.125[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]12[/C][C]0.125[/C][C]0.395833[/C][C]0.125[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]19[/C][C]0.197917[/C][C]0.59375[/C][C]0.197917[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]17[/C][C]0.177083[/C][C]0.770833[/C][C]0.177083[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]15[/C][C]0.15625[/C][C]0.927083[/C][C]0.15625[/C][/ROW]
[ROW][C][27,28[[/C][C]27.5[/C][C]4[/C][C]0.041667[/C][C]0.96875[/C][C]0.041667[/C][/ROW]
[ROW][C][28,29][/C][C]28.5[/C][C]3[/C][C]0.03125[/C][C]1[/C][C]0.03125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14247&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[19,20[19.520.0208330.0208330.020833
[20,21[20.570.0729170.093750.072917
[21,22[21.550.0520830.1458330.052083
[22,23[22.5120.1250.2708330.125
[23,24[23.5120.1250.3958330.125
[24,25[24.5190.1979170.593750.197917
[25,26[25.5170.1770830.7708330.177083
[26,27[26.5150.156250.9270830.15625
[27,28[27.540.0416670.968750.041667
[28,29]28.530.0312510.03125



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')