Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 04 Oct 2011 13:09:16 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/04/t1317748224do342fznddciynb.htm/, Retrieved Thu, 16 May 2024 12:08:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=126253, Retrieved Thu, 16 May 2024 12:08:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG2011W2MO
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Maximumprijs show...] [2011-10-04 17:09:16] [c0f35385ddfb9717cc41b82f2b64d087] [Current]
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Dataseries X:
49.98
50.12
50.37
50.39
50.34
50.32
50.32
50.32
50.67
50.86
50.95
51.02
51.02
51.06
50.9
51.23
51.29
51.3
51.3
51.3
51.46
51.47
51.77
51.82
51.82
51.84
51.9
51.94
52.22
52.27
52.27
52.28
52.53
52.73
52.72
52.67
52.67
52.65
52.69
52.73
52.84
52.83
52.83
52.84
52.82
53.09
53.4
53.43
53.43
53.42
53.6
53.69
54.05
54.04
54.04
54.08
54.05
54.39
54.38
54.46




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126253&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126253&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126253&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'AstonUniversity' @ aston.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[49.5,50[49.7510.0166670.0166670.033333
[50,50.5[50.2570.1166670.1333330.233333
[50.5,51[50.7540.0666670.20.133333
[51,51.5[51.25100.1666670.3666670.333333
[51.5,52[51.7560.10.4666670.2
[52,52.5[52.2540.0666670.5333330.133333
[52.5,53[52.75130.2166670.750.433333
[53,53.5[53.2550.0833330.8333330.166667
[53.5,54[53.7520.0333330.8666670.066667
[54,54.5]54.2580.13333310.266667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[49.5,50[ & 49.75 & 1 & 0.016667 & 0.016667 & 0.033333 \tabularnewline
[50,50.5[ & 50.25 & 7 & 0.116667 & 0.133333 & 0.233333 \tabularnewline
[50.5,51[ & 50.75 & 4 & 0.066667 & 0.2 & 0.133333 \tabularnewline
[51,51.5[ & 51.25 & 10 & 0.166667 & 0.366667 & 0.333333 \tabularnewline
[51.5,52[ & 51.75 & 6 & 0.1 & 0.466667 & 0.2 \tabularnewline
[52,52.5[ & 52.25 & 4 & 0.066667 & 0.533333 & 0.133333 \tabularnewline
[52.5,53[ & 52.75 & 13 & 0.216667 & 0.75 & 0.433333 \tabularnewline
[53,53.5[ & 53.25 & 5 & 0.083333 & 0.833333 & 0.166667 \tabularnewline
[53.5,54[ & 53.75 & 2 & 0.033333 & 0.866667 & 0.066667 \tabularnewline
[54,54.5] & 54.25 & 8 & 0.133333 & 1 & 0.266667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126253&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][49.5,50[[/C][C]49.75[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.033333[/C][/ROW]
[ROW][C][50,50.5[[/C][C]50.25[/C][C]7[/C][C]0.116667[/C][C]0.133333[/C][C]0.233333[/C][/ROW]
[ROW][C][50.5,51[[/C][C]50.75[/C][C]4[/C][C]0.066667[/C][C]0.2[/C][C]0.133333[/C][/ROW]
[ROW][C][51,51.5[[/C][C]51.25[/C][C]10[/C][C]0.166667[/C][C]0.366667[/C][C]0.333333[/C][/ROW]
[ROW][C][51.5,52[[/C][C]51.75[/C][C]6[/C][C]0.1[/C][C]0.466667[/C][C]0.2[/C][/ROW]
[ROW][C][52,52.5[[/C][C]52.25[/C][C]4[/C][C]0.066667[/C][C]0.533333[/C][C]0.133333[/C][/ROW]
[ROW][C][52.5,53[[/C][C]52.75[/C][C]13[/C][C]0.216667[/C][C]0.75[/C][C]0.433333[/C][/ROW]
[ROW][C][53,53.5[[/C][C]53.25[/C][C]5[/C][C]0.083333[/C][C]0.833333[/C][C]0.166667[/C][/ROW]
[ROW][C][53.5,54[[/C][C]53.75[/C][C]2[/C][C]0.033333[/C][C]0.866667[/C][C]0.066667[/C][/ROW]
[ROW][C][54,54.5][/C][C]54.25[/C][C]8[/C][C]0.133333[/C][C]1[/C][C]0.266667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126253&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126253&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
[49.5,50[49.7510.0166670.0166670.033333
[50,50.5[50.2570.1166670.1333330.233333
[50.5,51[50.7540.0666670.20.133333
[51,51.5[51.25100.1666670.3666670.333333
[51.5,52[51.7560.10.4666670.2
[52,52.5[52.2540.0666670.5333330.133333
[52.5,53[52.75130.2166670.750.433333
[53,53.5[53.2550.0833330.8333330.166667
[53.5,54[53.7520.0333330.8666670.066667
[54,54.5]54.2580.13333310.266667



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')
}