Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 05 Oct 2011 07:57:40 -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/05/t1317815966kagx2ke3kjnxa8h.htm/, Retrieved Thu, 31 Oct 2024 23:16:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=126708, Retrieved Thu, 31 Oct 2024 23:16:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Prijs per zakje f...] [2011-09-27 10:42:40] [29db8b7b193ddd6e53479ead2a9fc105]
- RMPD    [Histogram] [Prijs per zakje f...] [2011-10-05 11:57:40] [704adabfc46bcbd971bf5c1481d7b31c] [Current]
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Dataseries X:
2.02
2.02
2.02
2.02
2.03
2.03
2.03
2.04
2.04
2.05
2.06
2.06
2.07
2.08
2.08
2.08
2.09
2.09
2.09
2.1
2.1
2.1
2.11
2.11
2.11
2.13
2.18
2.2
2.21
2.21
2.22
2.22
2.23
2.23
2.23
2.23
2.24
2.25
2.26
2.27
2.28
2.29
2.3
2.3
2.3
2.32
2.32
2.32
2.33
2.34
2.34
2.34
2.35
2.35
2.36
2.37
2.37
2.37
2.38
2.38
2.38
2.39
2.4
2.41
2.42
2.43
2.43
2.43
2.43
2.44
2.44
2.45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126708&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]0 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=126708&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126708&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2,2.05[2.02590.1250.1252.5
[2.05,2.1[2.075100.1388890.2638892.777778
[2.1,2.15[2.12570.0972220.3611111.944444
[2.15,2.2[2.17510.0138890.3750.277778
[2.2,2.25[2.225100.1388890.5138892.777778
[2.25,2.3[2.27550.0694440.5833331.388889
[2.3,2.35[2.325100.1388890.7222222.777778
[2.35,2.4[2.375100.1388890.8611112.777778
[2.4,2.45]2.425100.13888912.777778

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2,2.05[ & 2.025 & 9 & 0.125 & 0.125 & 2.5 \tabularnewline
[2.05,2.1[ & 2.075 & 10 & 0.138889 & 0.263889 & 2.777778 \tabularnewline
[2.1,2.15[ & 2.125 & 7 & 0.097222 & 0.361111 & 1.944444 \tabularnewline
[2.15,2.2[ & 2.175 & 1 & 0.013889 & 0.375 & 0.277778 \tabularnewline
[2.2,2.25[ & 2.225 & 10 & 0.138889 & 0.513889 & 2.777778 \tabularnewline
[2.25,2.3[ & 2.275 & 5 & 0.069444 & 0.583333 & 1.388889 \tabularnewline
[2.3,2.35[ & 2.325 & 10 & 0.138889 & 0.722222 & 2.777778 \tabularnewline
[2.35,2.4[ & 2.375 & 10 & 0.138889 & 0.861111 & 2.777778 \tabularnewline
[2.4,2.45] & 2.425 & 10 & 0.138889 & 1 & 2.777778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=126708&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][2,2.05[[/C][C]2.025[/C][C]9[/C][C]0.125[/C][C]0.125[/C][C]2.5[/C][/ROW]
[ROW][C][2.05,2.1[[/C][C]2.075[/C][C]10[/C][C]0.138889[/C][C]0.263889[/C][C]2.777778[/C][/ROW]
[ROW][C][2.1,2.15[[/C][C]2.125[/C][C]7[/C][C]0.097222[/C][C]0.361111[/C][C]1.944444[/C][/ROW]
[ROW][C][2.15,2.2[[/C][C]2.175[/C][C]1[/C][C]0.013889[/C][C]0.375[/C][C]0.277778[/C][/ROW]
[ROW][C][2.2,2.25[[/C][C]2.225[/C][C]10[/C][C]0.138889[/C][C]0.513889[/C][C]2.777778[/C][/ROW]
[ROW][C][2.25,2.3[[/C][C]2.275[/C][C]5[/C][C]0.069444[/C][C]0.583333[/C][C]1.388889[/C][/ROW]
[ROW][C][2.3,2.35[[/C][C]2.325[/C][C]10[/C][C]0.138889[/C][C]0.722222[/C][C]2.777778[/C][/ROW]
[ROW][C][2.35,2.4[[/C][C]2.375[/C][C]10[/C][C]0.138889[/C][C]0.861111[/C][C]2.777778[/C][/ROW]
[ROW][C][2.4,2.45][/C][C]2.425[/C][C]10[/C][C]0.138889[/C][C]1[/C][C]2.777778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=126708&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=126708&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
[2,2.05[2.02590.1250.1252.5
[2.05,2.1[2.075100.1388890.2638892.777778
[2.1,2.15[2.12570.0972220.3611111.944444
[2.15,2.2[2.17510.0138890.3750.277778
[2.2,2.25[2.225100.1388890.5138892.777778
[2.25,2.3[2.27550.0694440.5833331.388889
[2.3,2.35[2.325100.1388890.7222222.777778
[2.35,2.4[2.375100.1388890.8611112.777778
[2.4,2.45]2.425100.13888912.777778



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')
}