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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 17 Sep 2020 21:22:02 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Sep/17/t16003705883n8zs94c43gmz0x.htm/, Retrieved Fri, 07 May 2021 10:32:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319246, Retrieved Fri, 07 May 2021 10:32:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact29
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2020-09-17 19:22:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
16
18
18
24
29
29
35
35
39
39
41
48
50
50
53
55
60
64
64
17
19
19
21
25
29
30
30
30
31
31
31
33
36
36
40
41
50
50
1
4
14
15
16
20
21
30
33
36
40
45




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319246&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319246&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319246&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10]520.040.040.004
]10,20]15100.20.240.02
]20,30]25110.220.460.022
]30,40]35140.280.740.028
]40,50]4580.160.90.016
]50,60]5530.060.960.006
]60,70]6520.0410.004

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10] & 5 & 2 & 0.04 & 0.04 & 0.004 \tabularnewline
]10,20] & 15 & 10 & 0.2 & 0.24 & 0.02 \tabularnewline
]20,30] & 25 & 11 & 0.22 & 0.46 & 0.022 \tabularnewline
]30,40] & 35 & 14 & 0.28 & 0.74 & 0.028 \tabularnewline
]40,50] & 45 & 8 & 0.16 & 0.9 & 0.016 \tabularnewline
]50,60] & 55 & 3 & 0.06 & 0.96 & 0.006 \tabularnewline
]60,70] & 65 & 2 & 0.04 & 1 & 0.004 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319246&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][0,10][/C][C]5[/C][C]2[/C][C]0.04[/C][C]0.04[/C][C]0.004[/C][/ROW]
[ROW][C]]10,20][/C][C]15[/C][C]10[/C][C]0.2[/C][C]0.24[/C][C]0.02[/C][/ROW]
[ROW][C]]20,30][/C][C]25[/C][C]11[/C][C]0.22[/C][C]0.46[/C][C]0.022[/C][/ROW]
[ROW][C]]30,40][/C][C]35[/C][C]14[/C][C]0.28[/C][C]0.74[/C][C]0.028[/C][/ROW]
[ROW][C]]40,50][/C][C]45[/C][C]8[/C][C]0.16[/C][C]0.9[/C][C]0.016[/C][/ROW]
[ROW][C]]50,60][/C][C]55[/C][C]3[/C][C]0.06[/C][C]0.96[/C][C]0.006[/C][/ROW]
[ROW][C]]60,70][/C][C]65[/C][C]2[/C][C]0.04[/C][C]1[/C][C]0.004[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319246&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319246&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
[0,10]520.040.040.004
]10,20]15100.20.240.02
]20,30]25110.220.460.022
]30,40]35140.280.740.028
]40,50]4580.160.90.016
]50,60]5530.060.960.006
]60,70]6520.0410.004



Parameters (Session):
par1 = 8 ; par2 = red ; par3 = TRUE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = 8 ; par2 = red ; par3 = TRUE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
par3 <- 'FALSE'
par2 <- 'red'
par1 <- '8'
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)
if (par4 == '11-point Likert') par1 <- c(1:11 - 0.5, 11.5)
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,'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')
}