Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 03 Oct 2015 13:09:11 +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/2015/Oct/03/t14438742808sxbxxxh0ydd4ho.htm/, Retrieved Wed, 15 May 2024 17:58:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281247, Retrieved Wed, 15 May 2024 17:58:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2015-10-03 11:11:22] [02e002b3131a4a4fe810fe8277e747f8]
-   PD    [Histogram] [] [2015-10-03 12:09:11] [db7ed3fbbcc36ff904ff15d7b0c6bd86] [Current]
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Dataseries X:
80.44
80.9
81.03
81.6
81.56
82.08
83.44
83.55
82.63
82.43
82.42
82.48
82.51
83.23
83.41
83.88
83.96
84.32
85.82
85.72
84.36
84.36
84.36
85.08
84.95
85.62
86.22
86.4
86.71
87.51
89.22
89.43
88.24
88.9
88.78
89.25
88.8
89.46
89.66
90.29
90.08
90.42
92.14
92.09
91.35
91.22
90.99
91.48
90.98
91.52
91.62
92.12
92.26
92.18
94.12
93.82
93.2
93.34
93.11
93.63
93.29
93.69
94.19
94.82
94.52
94.94
96.87
96.6
95.43
95.56
95.37
96
95.6
96.17
96.26
97.2
97.23
97.74
99.37
99.37
98.22
98.27
97.98
98.53
97.98
98.63
98.74
99.37
99.51
99.66
101.62
101.71
100.49
100.81
100.48
101.01
100.62
101.12
101.45
101.34
101.39
101.93
102.42
102.18
102.72
102.43
102.35
102.69




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281247&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]0 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=281247&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281247&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 time0 seconds
R Server'George Udny Yule' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[80,82[8150.0462960.0462960.023148
[82,84[83120.1111110.1574070.055556
[84,86[8590.0833330.2407410.041667
[86,88[8740.0370370.2777780.018519
[88,90[8990.0833330.3611110.041667
[90,92[91100.0925930.4537040.046296
[92,94[93120.1111110.5648150.055556
[94,96[9590.0833330.6481480.041667
[96,98[97100.0925930.7407410.046296
[98,100[99100.0925930.8333330.046296
[100,102[101120.1111110.9444440.055556
[102,104]10360.05555610.027778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,82[ & 81 & 5 & 0.046296 & 0.046296 & 0.023148 \tabularnewline
[82,84[ & 83 & 12 & 0.111111 & 0.157407 & 0.055556 \tabularnewline
[84,86[ & 85 & 9 & 0.083333 & 0.240741 & 0.041667 \tabularnewline
[86,88[ & 87 & 4 & 0.037037 & 0.277778 & 0.018519 \tabularnewline
[88,90[ & 89 & 9 & 0.083333 & 0.361111 & 0.041667 \tabularnewline
[90,92[ & 91 & 10 & 0.092593 & 0.453704 & 0.046296 \tabularnewline
[92,94[ & 93 & 12 & 0.111111 & 0.564815 & 0.055556 \tabularnewline
[94,96[ & 95 & 9 & 0.083333 & 0.648148 & 0.041667 \tabularnewline
[96,98[ & 97 & 10 & 0.092593 & 0.740741 & 0.046296 \tabularnewline
[98,100[ & 99 & 10 & 0.092593 & 0.833333 & 0.046296 \tabularnewline
[100,102[ & 101 & 12 & 0.111111 & 0.944444 & 0.055556 \tabularnewline
[102,104] & 103 & 6 & 0.055556 & 1 & 0.027778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281247&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][80,82[[/C][C]81[/C][C]5[/C][C]0.046296[/C][C]0.046296[/C][C]0.023148[/C][/ROW]
[ROW][C][82,84[[/C][C]83[/C][C]12[/C][C]0.111111[/C][C]0.157407[/C][C]0.055556[/C][/ROW]
[ROW][C][84,86[[/C][C]85[/C][C]9[/C][C]0.083333[/C][C]0.240741[/C][C]0.041667[/C][/ROW]
[ROW][C][86,88[[/C][C]87[/C][C]4[/C][C]0.037037[/C][C]0.277778[/C][C]0.018519[/C][/ROW]
[ROW][C][88,90[[/C][C]89[/C][C]9[/C][C]0.083333[/C][C]0.361111[/C][C]0.041667[/C][/ROW]
[ROW][C][90,92[[/C][C]91[/C][C]10[/C][C]0.092593[/C][C]0.453704[/C][C]0.046296[/C][/ROW]
[ROW][C][92,94[[/C][C]93[/C][C]12[/C][C]0.111111[/C][C]0.564815[/C][C]0.055556[/C][/ROW]
[ROW][C][94,96[[/C][C]95[/C][C]9[/C][C]0.083333[/C][C]0.648148[/C][C]0.041667[/C][/ROW]
[ROW][C][96,98[[/C][C]97[/C][C]10[/C][C]0.092593[/C][C]0.740741[/C][C]0.046296[/C][/ROW]
[ROW][C][98,100[[/C][C]99[/C][C]10[/C][C]0.092593[/C][C]0.833333[/C][C]0.046296[/C][/ROW]
[ROW][C][100,102[[/C][C]101[/C][C]12[/C][C]0.111111[/C][C]0.944444[/C][C]0.055556[/C][/ROW]
[ROW][C][102,104][/C][C]103[/C][C]6[/C][C]0.055556[/C][C]1[/C][C]0.027778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281247&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281247&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
[80,82[8150.0462960.0462960.023148
[82,84[83120.1111110.1574070.055556
[84,86[8590.0833330.2407410.041667
[86,88[8740.0370370.2777780.018519
[88,90[8990.0833330.3611110.041667
[90,92[91100.0925930.4537040.046296
[92,94[93120.1111110.5648150.055556
[94,96[9590.0833330.6481480.041667
[96,98[97100.0925930.7407410.046296
[98,100[99100.0925930.8333330.046296
[100,102[101120.1111110.9444440.055556
[102,104]10360.05555610.027778



Parameters (Session):
par1 = 30 ; 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):
par4 <- 'Unknown'
par3 <- 'FALSE'
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)
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')
}