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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 29 May 2016 10:45:59 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/May/29/t14645153546nhktnzxostvl3u.htm/, Retrieved Sat, 27 Apr 2024 15:14:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295657, Retrieved Sat, 27 Apr 2024 15:14:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-05-29 09:45:59] [808bf237864283e5d6c581b9d5be65c1] [Current]
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Dataseries X:
4
7
9
6
9
13
18
8
15
4
8
14
8
3
5
6
12
7
3
11
6
9
6
10
10
6
13
10
9
15
8
12
13
9
6
7
8
7
6
8
3
7
8
8
7
12
7
5
9
9
8
11
9
8
9
11
8
9
9
5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295657&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295657&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'George Udny Yule' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2,4[330.050.050.025
[4,6[550.0833330.1333330.041667
[6,8[7140.2333330.3666670.116667
[8,10[9220.3666670.7333330.183333
[10,12[1160.10.8333330.05
[12,14[1360.10.9333330.05
[14,16[1530.050.9833330.025
[16,18]1710.01666710.008333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2,4[ & 3 & 3 & 0.05 & 0.05 & 0.025 \tabularnewline
[4,6[ & 5 & 5 & 0.083333 & 0.133333 & 0.041667 \tabularnewline
[6,8[ & 7 & 14 & 0.233333 & 0.366667 & 0.116667 \tabularnewline
[8,10[ & 9 & 22 & 0.366667 & 0.733333 & 0.183333 \tabularnewline
[10,12[ & 11 & 6 & 0.1 & 0.833333 & 0.05 \tabularnewline
[12,14[ & 13 & 6 & 0.1 & 0.933333 & 0.05 \tabularnewline
[14,16[ & 15 & 3 & 0.05 & 0.983333 & 0.025 \tabularnewline
[16,18] & 17 & 1 & 0.016667 & 1 & 0.008333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295657&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][2,4[[/C][C]3[/C][C]3[/C][C]0.05[/C][C]0.05[/C][C]0.025[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]5[/C][C]0.083333[/C][C]0.133333[/C][C]0.041667[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]14[/C][C]0.233333[/C][C]0.366667[/C][C]0.116667[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]22[/C][C]0.366667[/C][C]0.733333[/C][C]0.183333[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]6[/C][C]0.1[/C][C]0.833333[/C][C]0.05[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]6[/C][C]0.1[/C][C]0.933333[/C][C]0.05[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]3[/C][C]0.05[/C][C]0.983333[/C][C]0.025[/C][/ROW]
[ROW][C][16,18][/C][C]17[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.008333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295657&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
[2,4[330.050.050.025
[4,6[550.0833330.1333330.041667
[6,8[7140.2333330.3666670.116667
[8,10[9220.3666670.7333330.183333
[10,12[1160.10.8333330.05
[12,14[1360.10.9333330.05
[14,16[1530.050.9833330.025
[16,18]1710.01666710.008333



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 {
barplot(mytab <- sort(table(x),T),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')
}