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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 11 Jan 2016 11:46:42 +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/2016/Jan/11/t1452512955loh1q0wymmekkr0.htm/, Retrieved Tue, 07 May 2024 23:18:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=289649, Retrieved Tue, 07 May 2024 23:18:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-01-11 11:46:42] [9de61432ca342460988ae3c030b81fa6] [Current]
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Dataseries X:
-12
-12
-8
-6
-2
4
3
5
8
5
3
6
15
12
11
12
14
18
15
16
-1
-5
-6
-5
-2
-9
-9
-12
-16
-19
-30
-26
-22
-31
-33
-31
-27
-29
-33
-27
-22
-23
-23
-15
-15
-24
-18
-14
-7
-12
-12
-15
-16
-17
-13
-8
-13
-13
-11
-16
-34
-35
-38
-32
-37
-39
-31
-30
-29
-36
-41
-42
-33
-43
-41
-34
-32
-36
-37
-30
-32
-30
-21
-19
-6
-11
-11




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=289649&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=289649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289649&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
[-45,-40[-42.540.0459770.0459770.009195
[-40,-35[-37.560.0689660.1149430.013793
[-35,-30[-32.5120.1379310.2528740.027586
[-30,-25[-27.590.1034480.3563220.02069
[-25,-20[-22.560.0689660.4252870.013793
[-20,-15[-17.570.080460.5057470.016092
[-15,-10[-12.5150.1724140.6781610.034483
[-10,-5[-7.580.0919540.7701150.018391
[-5,0[-2.550.0574710.8275860.011494
[0,5[2.530.0344830.8620690.006897
[5,10[7.540.0459770.9080460.009195
[10,15[12.540.0459770.9540230.009195
[15,20]17.540.04597710.009195

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-45,-40[ & -42.5 & 4 & 0.045977 & 0.045977 & 0.009195 \tabularnewline
[-40,-35[ & -37.5 & 6 & 0.068966 & 0.114943 & 0.013793 \tabularnewline
[-35,-30[ & -32.5 & 12 & 0.137931 & 0.252874 & 0.027586 \tabularnewline
[-30,-25[ & -27.5 & 9 & 0.103448 & 0.356322 & 0.02069 \tabularnewline
[-25,-20[ & -22.5 & 6 & 0.068966 & 0.425287 & 0.013793 \tabularnewline
[-20,-15[ & -17.5 & 7 & 0.08046 & 0.505747 & 0.016092 \tabularnewline
[-15,-10[ & -12.5 & 15 & 0.172414 & 0.678161 & 0.034483 \tabularnewline
[-10,-5[ & -7.5 & 8 & 0.091954 & 0.770115 & 0.018391 \tabularnewline
[-5,0[ & -2.5 & 5 & 0.057471 & 0.827586 & 0.011494 \tabularnewline
[0,5[ & 2.5 & 3 & 0.034483 & 0.862069 & 0.006897 \tabularnewline
[5,10[ & 7.5 & 4 & 0.045977 & 0.908046 & 0.009195 \tabularnewline
[10,15[ & 12.5 & 4 & 0.045977 & 0.954023 & 0.009195 \tabularnewline
[15,20] & 17.5 & 4 & 0.045977 & 1 & 0.009195 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=289649&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][-45,-40[[/C][C]-42.5[/C][C]4[/C][C]0.045977[/C][C]0.045977[/C][C]0.009195[/C][/ROW]
[ROW][C][-40,-35[[/C][C]-37.5[/C][C]6[/C][C]0.068966[/C][C]0.114943[/C][C]0.013793[/C][/ROW]
[ROW][C][-35,-30[[/C][C]-32.5[/C][C]12[/C][C]0.137931[/C][C]0.252874[/C][C]0.027586[/C][/ROW]
[ROW][C][-30,-25[[/C][C]-27.5[/C][C]9[/C][C]0.103448[/C][C]0.356322[/C][C]0.02069[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]6[/C][C]0.068966[/C][C]0.425287[/C][C]0.013793[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]7[/C][C]0.08046[/C][C]0.505747[/C][C]0.016092[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]15[/C][C]0.172414[/C][C]0.678161[/C][C]0.034483[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]8[/C][C]0.091954[/C][C]0.770115[/C][C]0.018391[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]5[/C][C]0.057471[/C][C]0.827586[/C][C]0.011494[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]3[/C][C]0.034483[/C][C]0.862069[/C][C]0.006897[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]4[/C][C]0.045977[/C][C]0.908046[/C][C]0.009195[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]4[/C][C]0.045977[/C][C]0.954023[/C][C]0.009195[/C][/ROW]
[ROW][C][15,20][/C][C]17.5[/C][C]4[/C][C]0.045977[/C][C]1[/C][C]0.009195[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=289649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=289649&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
[-45,-40[-42.540.0459770.0459770.009195
[-40,-35[-37.560.0689660.1149430.013793
[-35,-30[-32.5120.1379310.2528740.027586
[-30,-25[-27.590.1034480.3563220.02069
[-25,-20[-22.560.0689660.4252870.013793
[-20,-15[-17.570.080460.5057470.016092
[-15,-10[-12.5150.1724140.6781610.034483
[-10,-5[-7.580.0919540.7701150.018391
[-5,0[-2.550.0574710.8275860.011494
[0,5[2.530.0344830.8620690.006897
[5,10[7.540.0459770.9080460.009195
[10,15[12.540.0459770.9540230.009195
[15,20]17.540.04597710.009195



Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')
}