Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 18 Dec 2012 04:48:45 -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/18/t1355824144hdx620ago1pzqcv.htm/, Retrieved Fri, 29 Mar 2024 13:39:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201303, Retrieved Fri, 29 Mar 2024 13:39:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram van I1M] [2012-12-04 14:30:37] [aa97672bca82024903c7d587f1b28e35]
-    D    [Histogram] [i2F] [2012-12-18 09:48:45] [ed3634b20a751c26d6f63bd3797fea52] [Current]
Feedback Forum

Post a new message
Dataseries X:
NA
NA
NA
18
NA
NA
17
NA
NA
NA
19
20
NA
NA
NA
17
NA
25
26
NA
19
NA
NA
16
NA
NA
NA
NA
19
NA
25
NA
NA
15
12
21
NA
15
28
NA
NA
NA
NA
26
25
NA
12
15
NA
14
NA
NA
NA
NA
22
NA
NA
NA
21
23
NA
NA
NA
25
NA
22
24
20
NA
NA
NA
22
16
NA
NA
NA
NA
22
24
16
27
NA
NA
NA
20
27
NA
NA
NA
NA
NA
24
NA
NA
NA
NA
19
NA
16
26
NA
22
NA
NA
21
NA
14
NA
NA
NA
NA
NA
NA
NA
NA
12
NA
NA
22
NA
NA
NA
NA
NA
NA
20
NA
NA
18
23
NA
23
12
16
23
NA
NA
18
23
NA
NA
NA
NA
15
NA
NA
17
22
20
20
NA
NA
NA
20
22
18
NA
NA
NA
NA
17
NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201303&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201303&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201303&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'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[12,14[1340.0246910.0246910.031746
[14,16[1560.0370370.0617280.047619
[16,18[1790.0555560.1172840.071429
[18,20[1980.0493830.1666670.063492
[20,22[21100.0617280.2283950.079365
[22,24[23130.0802470.3086420.103175
[24,26[2570.043210.3518520.055556
[26,28]2760.0370370.3888890.047619

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[12,14[ & 13 & 4 & 0.024691 & 0.024691 & 0.031746 \tabularnewline
[14,16[ & 15 & 6 & 0.037037 & 0.061728 & 0.047619 \tabularnewline
[16,18[ & 17 & 9 & 0.055556 & 0.117284 & 0.071429 \tabularnewline
[18,20[ & 19 & 8 & 0.049383 & 0.166667 & 0.063492 \tabularnewline
[20,22[ & 21 & 10 & 0.061728 & 0.228395 & 0.079365 \tabularnewline
[22,24[ & 23 & 13 & 0.080247 & 0.308642 & 0.103175 \tabularnewline
[24,26[ & 25 & 7 & 0.04321 & 0.351852 & 0.055556 \tabularnewline
[26,28] & 27 & 6 & 0.037037 & 0.388889 & 0.047619 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201303&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][12,14[[/C][C]13[/C][C]4[/C][C]0.024691[/C][C]0.024691[/C][C]0.031746[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]6[/C][C]0.037037[/C][C]0.061728[/C][C]0.047619[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]9[/C][C]0.055556[/C][C]0.117284[/C][C]0.071429[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]8[/C][C]0.049383[/C][C]0.166667[/C][C]0.063492[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]10[/C][C]0.061728[/C][C]0.228395[/C][C]0.079365[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]13[/C][C]0.080247[/C][C]0.308642[/C][C]0.103175[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]7[/C][C]0.04321[/C][C]0.351852[/C][C]0.055556[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]6[/C][C]0.037037[/C][C]0.388889[/C][C]0.047619[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201303&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201303&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
[12,14[1340.0246910.0246910.031746
[14,16[1560.0370370.0617280.047619
[16,18[1790.0555560.1172840.071429
[18,20[1980.0493830.1666670.063492
[20,22[21100.0617280.2283950.079365
[22,24[23130.0802470.3086420.103175
[24,26[2570.043210.3518520.055556
[26,28]2760.0370370.3888890.047619



Parameters (Session):
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):
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')
}