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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 28 Nov 2012 05:43:24 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/28/t1354099469aq9rxikmtyo1kjg.htm/, Retrieved Fri, 29 Mar 2024 11:42:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=194107, Retrieved Fri, 29 Mar 2024 11:42:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords16 bins
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Eau de toilette v...] [2012-09-17 08:39:09] [959a443cac8f2532e98a3966c83323a2]
- RMPD  [Histogram] [Frequentietabel g...] [2012-09-24 08:28:30] [959a443cac8f2532e98a3966c83323a2]
- R P       [Histogram] [Histogram prijs e...] [2012-11-28 10:43:24] [38988f759262636e31810af7a466e7c0] [Current]
-   P         [Histogram] [Frequentietabel g...] [2012-11-28 10:46:14] [7b5adf8791c28a6d309d200f6742b0c3]
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Dataseries X:
52.21
52.53
53.06
53.23
53.25
53.27
53.35
53.6
53.98
54.18
54.27
54.32
54.4
54.73
54.96
55.27
55.27
55.26
55.37
55.53
55.55
55.54
55.6
55.56
55.64
56.13
56.69
56.8
56.93
57
57.01
57.21
57.17
57.36
57.29
57.26
57.29
57.68
58.19
58.34
58.46
58.67
58.72
58.74
58.77
58.84
59.13
59.12
59.12
59.33
59.49
59.67
59.7
59.73
59.74
59.62
59.6
59.98
60.05
60.06
60.1
60.18
60.38
60.52
60.78
60.72
60.72
60.86
60.99
61.11
61.17
61.19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194107&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194107&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[52,52.5[52.2510.0138890.0138890.027778
[52.5,53[52.7510.0138890.0277780.027778
[53,53.5[53.2550.0694440.0972220.138889
[53.5,54[53.7520.0277780.1250.055556
[54,54.5[54.2540.0555560.1805560.111111
[54.5,55[54.7520.0277780.2083330.055556
[55,55.5[55.2540.0555560.2638890.111111
[55.5,56[55.7560.0833330.3472220.166667
[56,56.5[56.2510.0138890.3611110.027778
[56.5,57[56.7530.0416670.4027780.083333
[57,57.5[57.2580.1111110.5138890.222222
[57.5,58[57.7510.0138890.5277780.027778
[58,58.5[58.2530.0416670.5694440.083333
[58.5,59[58.7550.0694440.6388890.138889
[59,59.5[59.2550.0694440.7083330.138889
[59.5,60[59.7570.0972220.8055560.194444
[60,60.5[60.2550.0694440.8750.138889
[60.5,61[60.7560.0833330.9583330.166667
[61,61.5]61.2530.04166710.083333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[52,52.5[ & 52.25 & 1 & 0.013889 & 0.013889 & 0.027778 \tabularnewline
[52.5,53[ & 52.75 & 1 & 0.013889 & 0.027778 & 0.027778 \tabularnewline
[53,53.5[ & 53.25 & 5 & 0.069444 & 0.097222 & 0.138889 \tabularnewline
[53.5,54[ & 53.75 & 2 & 0.027778 & 0.125 & 0.055556 \tabularnewline
[54,54.5[ & 54.25 & 4 & 0.055556 & 0.180556 & 0.111111 \tabularnewline
[54.5,55[ & 54.75 & 2 & 0.027778 & 0.208333 & 0.055556 \tabularnewline
[55,55.5[ & 55.25 & 4 & 0.055556 & 0.263889 & 0.111111 \tabularnewline
[55.5,56[ & 55.75 & 6 & 0.083333 & 0.347222 & 0.166667 \tabularnewline
[56,56.5[ & 56.25 & 1 & 0.013889 & 0.361111 & 0.027778 \tabularnewline
[56.5,57[ & 56.75 & 3 & 0.041667 & 0.402778 & 0.083333 \tabularnewline
[57,57.5[ & 57.25 & 8 & 0.111111 & 0.513889 & 0.222222 \tabularnewline
[57.5,58[ & 57.75 & 1 & 0.013889 & 0.527778 & 0.027778 \tabularnewline
[58,58.5[ & 58.25 & 3 & 0.041667 & 0.569444 & 0.083333 \tabularnewline
[58.5,59[ & 58.75 & 5 & 0.069444 & 0.638889 & 0.138889 \tabularnewline
[59,59.5[ & 59.25 & 5 & 0.069444 & 0.708333 & 0.138889 \tabularnewline
[59.5,60[ & 59.75 & 7 & 0.097222 & 0.805556 & 0.194444 \tabularnewline
[60,60.5[ & 60.25 & 5 & 0.069444 & 0.875 & 0.138889 \tabularnewline
[60.5,61[ & 60.75 & 6 & 0.083333 & 0.958333 & 0.166667 \tabularnewline
[61,61.5] & 61.25 & 3 & 0.041667 & 1 & 0.083333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=194107&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][52,52.5[[/C][C]52.25[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.027778[/C][/ROW]
[ROW][C][52.5,53[[/C][C]52.75[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.027778[/C][/ROW]
[ROW][C][53,53.5[[/C][C]53.25[/C][C]5[/C][C]0.069444[/C][C]0.097222[/C][C]0.138889[/C][/ROW]
[ROW][C][53.5,54[[/C][C]53.75[/C][C]2[/C][C]0.027778[/C][C]0.125[/C][C]0.055556[/C][/ROW]
[ROW][C][54,54.5[[/C][C]54.25[/C][C]4[/C][C]0.055556[/C][C]0.180556[/C][C]0.111111[/C][/ROW]
[ROW][C][54.5,55[[/C][C]54.75[/C][C]2[/C][C]0.027778[/C][C]0.208333[/C][C]0.055556[/C][/ROW]
[ROW][C][55,55.5[[/C][C]55.25[/C][C]4[/C][C]0.055556[/C][C]0.263889[/C][C]0.111111[/C][/ROW]
[ROW][C][55.5,56[[/C][C]55.75[/C][C]6[/C][C]0.083333[/C][C]0.347222[/C][C]0.166667[/C][/ROW]
[ROW][C][56,56.5[[/C][C]56.25[/C][C]1[/C][C]0.013889[/C][C]0.361111[/C][C]0.027778[/C][/ROW]
[ROW][C][56.5,57[[/C][C]56.75[/C][C]3[/C][C]0.041667[/C][C]0.402778[/C][C]0.083333[/C][/ROW]
[ROW][C][57,57.5[[/C][C]57.25[/C][C]8[/C][C]0.111111[/C][C]0.513889[/C][C]0.222222[/C][/ROW]
[ROW][C][57.5,58[[/C][C]57.75[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.027778[/C][/ROW]
[ROW][C][58,58.5[[/C][C]58.25[/C][C]3[/C][C]0.041667[/C][C]0.569444[/C][C]0.083333[/C][/ROW]
[ROW][C][58.5,59[[/C][C]58.75[/C][C]5[/C][C]0.069444[/C][C]0.638889[/C][C]0.138889[/C][/ROW]
[ROW][C][59,59.5[[/C][C]59.25[/C][C]5[/C][C]0.069444[/C][C]0.708333[/C][C]0.138889[/C][/ROW]
[ROW][C][59.5,60[[/C][C]59.75[/C][C]7[/C][C]0.097222[/C][C]0.805556[/C][C]0.194444[/C][/ROW]
[ROW][C][60,60.5[[/C][C]60.25[/C][C]5[/C][C]0.069444[/C][C]0.875[/C][C]0.138889[/C][/ROW]
[ROW][C][60.5,61[[/C][C]60.75[/C][C]6[/C][C]0.083333[/C][C]0.958333[/C][C]0.166667[/C][/ROW]
[ROW][C][61,61.5][/C][C]61.25[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.083333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=194107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=194107&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
[52,52.5[52.2510.0138890.0138890.027778
[52.5,53[52.7510.0138890.0277780.027778
[53,53.5[53.2550.0694440.0972220.138889
[53.5,54[53.7520.0277780.1250.055556
[54,54.5[54.2540.0555560.1805560.111111
[54.5,55[54.7520.0277780.2083330.055556
[55,55.5[55.2540.0555560.2638890.111111
[55.5,56[55.7560.0833330.3472220.166667
[56,56.5[56.2510.0138890.3611110.027778
[56.5,57[56.7530.0416670.4027780.083333
[57,57.5[57.2580.1111110.5138890.222222
[57.5,58[57.7510.0138890.5277780.027778
[58,58.5[58.2530.0416670.5694440.083333
[58.5,59[58.7550.0694440.6388890.138889
[59,59.5[59.2550.0694440.7083330.138889
[59.5,60[59.7570.0972220.8055560.194444
[60,60.5[60.2550.0694440.8750.138889
[60.5,61[60.7560.0833330.9583330.166667
[61,61.5]61.2530.04166710.083333



Parameters (Session):
par1 = 16 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 16 ; 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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}