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 05:15:01 -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/t1355825714uj08q4e01edecbc.htm/, Retrieved Fri, 29 Mar 2024 05:09:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201315, Retrieved Fri, 29 Mar 2024 05:09:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118
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] [E1M] [2012-12-18 10:15:01] [ed3634b20a751c26d6f63bd3797fea52] [Current]
Feedback Forum

Post a new message
Dataseries X:
23
24
22
NA
24
27
NA
27
24
23
NA
NA
27
28
27
NA
24
NA
NA
25
NA
24
20
NA
26
23
23
20
NA
24
NA
23
18
NA
NA
NA
23
NA
NA
26
26
23
22
NA
NA
20
NA
NA
25
NA
22
23
25
23
NA
22
24
25
NA
NA
17
20
23
NA
20
NA
NA
NA
24
24
28
NA
NA
25
25
18
17
NA
NA
NA
NA
22
NA
25
NA
NA
26
19
25
21
13
NA
25
26
25
25
NA
21
NA
NA
24
NA
21
25
NA
20
NA
23
28
23
28
24
18
20
28
NA
21
25
NA
18
21
22
24
15
28
NA
23
26
NA
NA
20
NA
NA
NA
NA
22
26
NA
NA
23
21
26
23
NA
27
19
NA
NA
NA
NA
22
25
25
NA
NA
NA
25
19
25
22
NA
20




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=201315&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=201315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201315&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[1310.0061730.0061730.005102
[14,16[1510.0061730.0123460.005102
[16,18[1720.0123460.0246910.010204
[18,20[1970.043210.0679010.035714
[20,22[21150.0925930.1604940.076531
[22,24[23240.1481480.3086420.122449
[24,26[25290.1790120.4876540.147959
[26,28]27190.1172840.6049380.096939

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[12,14[ & 13 & 1 & 0.006173 & 0.006173 & 0.005102 \tabularnewline
[14,16[ & 15 & 1 & 0.006173 & 0.012346 & 0.005102 \tabularnewline
[16,18[ & 17 & 2 & 0.012346 & 0.024691 & 0.010204 \tabularnewline
[18,20[ & 19 & 7 & 0.04321 & 0.067901 & 0.035714 \tabularnewline
[20,22[ & 21 & 15 & 0.092593 & 0.160494 & 0.076531 \tabularnewline
[22,24[ & 23 & 24 & 0.148148 & 0.308642 & 0.122449 \tabularnewline
[24,26[ & 25 & 29 & 0.179012 & 0.487654 & 0.147959 \tabularnewline
[26,28] & 27 & 19 & 0.117284 & 0.604938 & 0.096939 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201315&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]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.005102[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.005102[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]2[/C][C]0.012346[/C][C]0.024691[/C][C]0.010204[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]7[/C][C]0.04321[/C][C]0.067901[/C][C]0.035714[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]15[/C][C]0.092593[/C][C]0.160494[/C][C]0.076531[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]24[/C][C]0.148148[/C][C]0.308642[/C][C]0.122449[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]29[/C][C]0.179012[/C][C]0.487654[/C][C]0.147959[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]19[/C][C]0.117284[/C][C]0.604938[/C][C]0.096939[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201315&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[1310.0061730.0061730.005102
[14,16[1510.0061730.0123460.005102
[16,18[1720.0123460.0246910.010204
[18,20[1970.043210.0679010.035714
[20,22[21150.0925930.1604940.076531
[22,24[23240.1481480.3086420.122449
[24,26[25290.1790120.4876540.147959
[26,28]27190.1172840.6049380.096939



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')
}