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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 08 Sep 2020 16:26:43 +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/08/t1599575465ywtl26jtevnq2ye.htm/, Retrieved Fri, 29 Mar 2024 09:54:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319236, Retrieved Fri, 29 Mar 2024 09:54:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Collage homework] [2020-09-08 14:26:43] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
10
8
14
7
15
15
6
7
2
9
11
10
7
14
5
6
10
5
6
5
6
4
7
7
11
9
5
8
5
10
8
6
11
3
8
0
12
7
10
5
5
9
7
1
10
17
9
17
9
10
9
3
9
5
21
9
6
2
8
2
16
6
5
1
2
1
4
5
7
2
20
10
12
13
9
4
3
7
18
0




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319236&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319236&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319236&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2]1100.1250.1250.0625
]2,4]360.0750.20.0375
]4,6]5170.21250.41250.10625
]6,8]7140.1750.58750.0875
]8,10]9170.21250.80.10625
]10,12]1150.06250.86250.03125
]12,14]1330.03750.90.01875
]14,16]1530.03750.93750.01875
]16,18]1730.03750.9750.01875
]18,20]1910.01250.98750.00625
]20,22]2110.012510.00625

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2] & 1 & 10 & 0.125 & 0.125 & 0.0625 \tabularnewline
]2,4] & 3 & 6 & 0.075 & 0.2 & 0.0375 \tabularnewline
]4,6] & 5 & 17 & 0.2125 & 0.4125 & 0.10625 \tabularnewline
]6,8] & 7 & 14 & 0.175 & 0.5875 & 0.0875 \tabularnewline
]8,10] & 9 & 17 & 0.2125 & 0.8 & 0.10625 \tabularnewline
]10,12] & 11 & 5 & 0.0625 & 0.8625 & 0.03125 \tabularnewline
]12,14] & 13 & 3 & 0.0375 & 0.9 & 0.01875 \tabularnewline
]14,16] & 15 & 3 & 0.0375 & 0.9375 & 0.01875 \tabularnewline
]16,18] & 17 & 3 & 0.0375 & 0.975 & 0.01875 \tabularnewline
]18,20] & 19 & 1 & 0.0125 & 0.9875 & 0.00625 \tabularnewline
]20,22] & 21 & 1 & 0.0125 & 1 & 0.00625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319236&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][0,2][/C][C]1[/C][C]10[/C][C]0.125[/C][C]0.125[/C][C]0.0625[/C][/ROW]
[ROW][C]]2,4][/C][C]3[/C][C]6[/C][C]0.075[/C][C]0.2[/C][C]0.0375[/C][/ROW]
[ROW][C]]4,6][/C][C]5[/C][C]17[/C][C]0.2125[/C][C]0.4125[/C][C]0.10625[/C][/ROW]
[ROW][C]]6,8][/C][C]7[/C][C]14[/C][C]0.175[/C][C]0.5875[/C][C]0.0875[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]17[/C][C]0.2125[/C][C]0.8[/C][C]0.10625[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]5[/C][C]0.0625[/C][C]0.8625[/C][C]0.03125[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]3[/C][C]0.0375[/C][C]0.9[/C][C]0.01875[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]3[/C][C]0.0375[/C][C]0.9375[/C][C]0.01875[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]3[/C][C]0.0375[/C][C]0.975[/C][C]0.01875[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]1[/C][C]0.0125[/C][C]0.9875[/C][C]0.00625[/C][/ROW]
[ROW][C]]20,22][/C][C]21[/C][C]1[/C][C]0.0125[/C][C]1[/C][C]0.00625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319236&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319236&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
[0,2]1100.1250.1250.0625
]2,4]360.0750.20.0375
]4,6]5170.21250.41250.10625
]6,8]7140.1750.58750.0875
]8,10]9170.21250.80.10625
]10,12]1150.06250.86250.03125
]12,14]1330.03750.90.01875
]14,16]1530.03750.93750.01875
]16,18]1730.03750.9750.01875
]18,20]1910.01250.98750.00625
]20,22]2110.012510.00625



Parameters (Session):
par2 = grey ; par3 = TRUE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = TRUE ; par4 = Interval/Ratio ;
R code (references can be found in the software module):
par4 <- 'Interval/Ratio'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- ''
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')
}