Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 17 Dec 2012 12:34:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/17/t1355765729sck615jnehhza57.htm/, Retrieved Fri, 29 Mar 2024 09:59:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201089, Retrieved Fri, 29 Mar 2024 09:59:50 +0000
QR Codes:

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)
-     [Notched Boxplots] [] [2012-12-17 16:50:44] [1be67d47f42452f1fa409bb18d08d302]
- R  D  [Notched Boxplots] [] [2012-12-17 16:57:26] [1be67d47f42452f1fa409bb18d08d302]
- RMPD    [Histogram] [] [2012-12-17 17:24:57] [1be67d47f42452f1fa409bb18d08d302]
- R P         [Histogram] [] [2012-12-17 17:34:17] [6805b1a9805384e56de7aaef2a6b549a] [Current]
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Dataseries X:
16.3
17.4
8.6
13.8
12.0
13.8
16.0
13.5
6.0
14.6
13.1
18.2
16.9
17.9
14.0
27.9
15.5
7.3
18.1
16.0
18.8
15.6
12.2
19.2
17.6
18.0
17.0
17.0
18.2
19.4
15.4
14.9
11.3
15.7
15.0
15.2
12.5
12.0
12.9
25.0
13.1
10.8
13.8
16.8
14.3
10.1
16.6
18.4
18.1
12.0
27.5
15.7
19.4
15.7
29.5
15.8
23.8
21.0
25.4
12.1
17.8
11.5
15.4
11.0
11.1
10.5
13.9
13.1
19.0
11.4
15.8
15.3
20.4
10.3
12.6
16.4
15.2
19.7
12.9
16.3
8.0
11.0
9.7
19.0
20.8
18.6
14.2
19.7
4.5
14.9
17.3
19.2
14.6
15.1
13.1
15.5
17.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201089&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201089&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201089&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'Sir Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6[510.0103090.0103090.005155
[6,8[720.0206190.0309280.010309
[8,10[930.0309280.0618560.015464
[10,12[11100.1030930.1649480.051546
[12,14[13180.1855670.3505150.092784
[14,16[15220.2268040.577320.113402
[16,18[17160.1649480.7422680.082474
[18,20[19160.1649480.9072160.082474
[20,22[2130.0309280.9381440.015464
[22,24[2310.0103090.9484540.005155
[24,26[2520.0206190.9690720.010309
[26,28[2720.0206190.9896910.010309
[28,30]2910.01030910.005155

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 1 & 0.010309 & 0.010309 & 0.005155 \tabularnewline
[6,8[ & 7 & 2 & 0.020619 & 0.030928 & 0.010309 \tabularnewline
[8,10[ & 9 & 3 & 0.030928 & 0.061856 & 0.015464 \tabularnewline
[10,12[ & 11 & 10 & 0.103093 & 0.164948 & 0.051546 \tabularnewline
[12,14[ & 13 & 18 & 0.185567 & 0.350515 & 0.092784 \tabularnewline
[14,16[ & 15 & 22 & 0.226804 & 0.57732 & 0.113402 \tabularnewline
[16,18[ & 17 & 16 & 0.164948 & 0.742268 & 0.082474 \tabularnewline
[18,20[ & 19 & 16 & 0.164948 & 0.907216 & 0.082474 \tabularnewline
[20,22[ & 21 & 3 & 0.030928 & 0.938144 & 0.015464 \tabularnewline
[22,24[ & 23 & 1 & 0.010309 & 0.948454 & 0.005155 \tabularnewline
[24,26[ & 25 & 2 & 0.020619 & 0.969072 & 0.010309 \tabularnewline
[26,28[ & 27 & 2 & 0.020619 & 0.989691 & 0.010309 \tabularnewline
[28,30] & 29 & 1 & 0.010309 & 1 & 0.005155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201089&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][4,6[[/C][C]5[/C][C]1[/C][C]0.010309[/C][C]0.010309[/C][C]0.005155[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]2[/C][C]0.020619[/C][C]0.030928[/C][C]0.010309[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]3[/C][C]0.030928[/C][C]0.061856[/C][C]0.015464[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]10[/C][C]0.103093[/C][C]0.164948[/C][C]0.051546[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]18[/C][C]0.185567[/C][C]0.350515[/C][C]0.092784[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]22[/C][C]0.226804[/C][C]0.57732[/C][C]0.113402[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]16[/C][C]0.164948[/C][C]0.742268[/C][C]0.082474[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]16[/C][C]0.164948[/C][C]0.907216[/C][C]0.082474[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]3[/C][C]0.030928[/C][C]0.938144[/C][C]0.015464[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]1[/C][C]0.010309[/C][C]0.948454[/C][C]0.005155[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]2[/C][C]0.020619[/C][C]0.969072[/C][C]0.010309[/C][/ROW]
[ROW][C][26,28[[/C][C]27[/C][C]2[/C][C]0.020619[/C][C]0.989691[/C][C]0.010309[/C][/ROW]
[ROW][C][28,30][/C][C]29[/C][C]1[/C][C]0.010309[/C][C]1[/C][C]0.005155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201089&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201089&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
[4,6[510.0103090.0103090.005155
[6,8[720.0206190.0309280.010309
[8,10[930.0309280.0618560.015464
[10,12[11100.1030930.1649480.051546
[12,14[13180.1855670.3505150.092784
[14,16[15220.2268040.577320.113402
[16,18[17160.1649480.7422680.082474
[18,20[19160.1649480.9072160.082474
[20,22[2130.0309280.9381440.015464
[22,24[2310.0103090.9484540.005155
[24,26[2520.0206190.9690720.010309
[26,28[2720.0206190.9896910.010309
[28,30]2910.01030910.005155



Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; 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 {
plot(mytab <- table(x),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')
}