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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 22 Dec 2013 08:23:03 -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/2013/Dec/22/t1387718740j9gullb18nye533.htm/, Retrieved Sun, 05 Dec 2021 18:00:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232516, Retrieved Sun, 05 Dec 2021 18:00:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-12-22 13:23:03] [20efb5145ec2a2ddd8dcd418764211fa] [Current]
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Dataseries X:
19.4
19.4
19.4
19.5
19.5
19.5
28.7
28.7
28.7
21.8
21.8
21.8
20
20
20
22.6
22.6
22.6
22.4
22.4
22.4
18.6
18.6
18.6
16.2
16.2
16.2
13.8
13.8
13.8
24.1
24.1
24.1
19.9
19.9
19.9
22.3
22.3
22.3
20.9
20.9
20.9
23.5
23.5
23.5
23.1
23.1
23.1
25.7
25.7
25.7
19.7
19.7
19.7
23.1
23.1
23.1
20.7
20.7
20.7
18
18
18
16.9
16.9
16.9
24.4
24.4
24.4
15.5
15.5
15.5
18.4
18.4
18.4
16.2
16.2
16.2
20.6
20.6
20.6
19.8
19.8
19.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232516&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232516&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232516&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[12,14[1330.0357140.0357140.017857
[14,16[1530.0357140.0714290.017857
[16,18[1790.1071430.1785710.053571
[18,20[19240.2857140.4642860.142857
[20,22[21150.1785710.6428570.089286
[22,24[23180.2142860.8571430.107143
[24,26[2590.1071430.9642860.053571
[26,28[27000.9642860
[28,30]2930.03571410.017857

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[12,14[ & 13 & 3 & 0.035714 & 0.035714 & 0.017857 \tabularnewline
[14,16[ & 15 & 3 & 0.035714 & 0.071429 & 0.017857 \tabularnewline
[16,18[ & 17 & 9 & 0.107143 & 0.178571 & 0.053571 \tabularnewline
[18,20[ & 19 & 24 & 0.285714 & 0.464286 & 0.142857 \tabularnewline
[20,22[ & 21 & 15 & 0.178571 & 0.642857 & 0.089286 \tabularnewline
[22,24[ & 23 & 18 & 0.214286 & 0.857143 & 0.107143 \tabularnewline
[24,26[ & 25 & 9 & 0.107143 & 0.964286 & 0.053571 \tabularnewline
[26,28[ & 27 & 0 & 0 & 0.964286 & 0 \tabularnewline
[28,30] & 29 & 3 & 0.035714 & 1 & 0.017857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232516&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][12,14[[/C][C]13[/C][C]3[/C][C]0.035714[/C][C]0.035714[/C][C]0.017857[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]3[/C][C]0.035714[/C][C]0.071429[/C][C]0.017857[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]9[/C][C]0.107143[/C][C]0.178571[/C][C]0.053571[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]24[/C][C]0.285714[/C][C]0.464286[/C][C]0.142857[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]15[/C][C]0.178571[/C][C]0.642857[/C][C]0.089286[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]18[/C][C]0.214286[/C][C]0.857143[/C][C]0.107143[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]9[/C][C]0.107143[/C][C]0.964286[/C][C]0.053571[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]0[/C][C]0[/C][C]0.964286[/C][C]0[/C][/ROW]
[ROW][C][28,30][/C][C]29[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.017857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232516&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232516&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
[12,14[1330.0357140.0357140.017857
[14,16[1530.0357140.0714290.017857
[16,18[1790.1071430.1785710.053571
[18,20[19240.2857140.4642860.142857
[20,22[21150.1785710.6428570.089286
[22,24[23180.2142860.8571430.107143
[24,26[2590.1071430.9642860.053571
[26,28[27000.9642860
[28,30]2930.03571410.017857



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.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')
}