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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 computationSat, 15 Dec 2012 12:07:28 -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/15/t135559130079gdc01xjz41vwu.htm/, Retrieved Thu, 31 Oct 2024 23:40:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200075, Retrieved Thu, 31 Oct 2024 23:40:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-12-15 17:07:28] [5822c3aa9d6681e7e6dd0478dad183d5] [Current]
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Dataseries X:
NA
NA
NA
21
NA
NA
19
NA
NA
NA
25
17
NA
NA
NA
20
NA
22
21
NA
17
NA
NA
17
NA
NA
NA
NA
22
NA
25
NA
NA
15
22
21
NA
16
28
NA
NA
NA
NA
22
21
NA
12
25
NA
24
NA
NA
NA
NA
24
NA
NA
NA
25
25
NA
NA
NA
26
NA
22
24
17
NA
NA
NA
20
15
NA
NA
NA
NA
24
26
21
25
NA
NA
NA
23
28
NA
NA
NA
NA
NA
18
NA
NA
NA
NA
21
NA
21
23
NA
15
NA
NA
23
NA
21
NA
NA
NA
NA
NA
NA
NA
NA
10
NA
NA
21
NA
NA
NA
NA
NA
NA
18
NA
NA
19
22
NA
24
15
18
26
NA
NA
21
23
NA
NA
NA
NA
16
NA
NA
22
16
19
20
NA
NA
NA
25
21
21
NA
NA
NA
NA
16
NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200075&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200075&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200075&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 Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,12[1110.0061730.0061730.007937
[12,14[1310.0061730.0123460.007937
[14,16[1540.0246910.0370370.031746
[16,18[1780.0493830.086420.063492
[18,20[1960.0370370.1234570.047619
[20,22[21150.0925930.2160490.119048
[22,24[23110.0679010.2839510.087302
[24,26[25120.0740740.3580250.095238
[26,28]2750.0308640.3888890.039683

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,12[ & 11 & 1 & 0.006173 & 0.006173 & 0.007937 \tabularnewline
[12,14[ & 13 & 1 & 0.006173 & 0.012346 & 0.007937 \tabularnewline
[14,16[ & 15 & 4 & 0.024691 & 0.037037 & 0.031746 \tabularnewline
[16,18[ & 17 & 8 & 0.049383 & 0.08642 & 0.063492 \tabularnewline
[18,20[ & 19 & 6 & 0.037037 & 0.123457 & 0.047619 \tabularnewline
[20,22[ & 21 & 15 & 0.092593 & 0.216049 & 0.119048 \tabularnewline
[22,24[ & 23 & 11 & 0.067901 & 0.283951 & 0.087302 \tabularnewline
[24,26[ & 25 & 12 & 0.074074 & 0.358025 & 0.095238 \tabularnewline
[26,28] & 27 & 5 & 0.030864 & 0.388889 & 0.039683 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200075&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][10,12[[/C][C]11[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.007937[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.007937[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]4[/C][C]0.024691[/C][C]0.037037[/C][C]0.031746[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]8[/C][C]0.049383[/C][C]0.08642[/C][C]0.063492[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]6[/C][C]0.037037[/C][C]0.123457[/C][C]0.047619[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]15[/C][C]0.092593[/C][C]0.216049[/C][C]0.119048[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]11[/C][C]0.067901[/C][C]0.283951[/C][C]0.087302[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]12[/C][C]0.074074[/C][C]0.358025[/C][C]0.095238[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]5[/C][C]0.030864[/C][C]0.388889[/C][C]0.039683[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200075&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200075&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
[10,12[1110.0061730.0061730.007937
[12,14[1310.0061730.0123460.007937
[14,16[1540.0246910.0370370.031746
[16,18[1780.0493830.086420.063492
[18,20[1960.0370370.1234570.047619
[20,22[21150.0925930.2160490.119048
[22,24[23110.0679010.2839510.087302
[24,26[25120.0740740.3580250.095238
[26,28]2750.0308640.3888890.039683



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')
}