Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 03 Mar 2009 03:44:41 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/03/t12360771762yn90zekorqujio.htm/, Retrieved Fri, 07 Oct 2022 00:32:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38465, Retrieved Fri, 07 Oct 2022 00:32:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [cheeseburgers] [2009-03-03 10:44:41] [e6a4511d9c87cbe7d6925124513541b0] [Current]
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Dataseries X:
1.92
1.93
1.93
1.92
1.91
1.91
1.9
1.9
1.89
1.88
1.86
1.85
1.85
1.84
1.84
1.84
1.84
1.84
1.84
1.84
1.83
1.83
1.83
1.82
1.81
1.81
1.81
1.8
1.8
1.8
1.79
1.79
1.79
1.79
1.79
1.78
1.77
1.77
1.77
1.77
1.75
1.75
1.75
1.74
1.75
1.74
1.75
1.74
1.74
1.74
1.73
1.73
1.72
1.71
1.71
1.71
1.71
1.7
1.7
1.7
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.69
1.68
1.68
1.68
1.68
1.68
1.67
1.67
1.67
1.67
1.67
1.66
1.66
1.65
1.65
1.65
1.65
1.65
1.64
1.64
1.64
1.64
1.64
1.64
1.64
1.64
1.64




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38465&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38465&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38465&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' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.6,1.65[1.62590.093750.093751.875
[1.65,1.7[1.675270.281250.3755.625
[1.7,1.75[1.725150.156250.531253.125
[1.75,1.8[1.775150.156250.68753.125
[1.8,1.85[1.825170.1770830.8645833.541667
[1.85,1.9[1.87550.0520830.9166671.041667
[1.9,1.95]1.92580.08333311.666666

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.6,1.65[ & 1.625 & 9 & 0.09375 & 0.09375 & 1.875 \tabularnewline
[1.65,1.7[ & 1.675 & 27 & 0.28125 & 0.375 & 5.625 \tabularnewline
[1.7,1.75[ & 1.725 & 15 & 0.15625 & 0.53125 & 3.125 \tabularnewline
[1.75,1.8[ & 1.775 & 15 & 0.15625 & 0.6875 & 3.125 \tabularnewline
[1.8,1.85[ & 1.825 & 17 & 0.177083 & 0.864583 & 3.541667 \tabularnewline
[1.85,1.9[ & 1.875 & 5 & 0.052083 & 0.916667 & 1.041667 \tabularnewline
[1.9,1.95] & 1.925 & 8 & 0.083333 & 1 & 1.666666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38465&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][1.6,1.65[[/C][C]1.625[/C][C]9[/C][C]0.09375[/C][C]0.09375[/C][C]1.875[/C][/ROW]
[ROW][C][1.65,1.7[[/C][C]1.675[/C][C]27[/C][C]0.28125[/C][C]0.375[/C][C]5.625[/C][/ROW]
[ROW][C][1.7,1.75[[/C][C]1.725[/C][C]15[/C][C]0.15625[/C][C]0.53125[/C][C]3.125[/C][/ROW]
[ROW][C][1.75,1.8[[/C][C]1.775[/C][C]15[/C][C]0.15625[/C][C]0.6875[/C][C]3.125[/C][/ROW]
[ROW][C][1.8,1.85[[/C][C]1.825[/C][C]17[/C][C]0.177083[/C][C]0.864583[/C][C]3.541667[/C][/ROW]
[ROW][C][1.85,1.9[[/C][C]1.875[/C][C]5[/C][C]0.052083[/C][C]0.916667[/C][C]1.041667[/C][/ROW]
[ROW][C][1.9,1.95][/C][C]1.925[/C][C]8[/C][C]0.083333[/C][C]1[/C][C]1.666666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38465&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38465&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
[1.6,1.65[1.62590.093750.093751.875
[1.65,1.7[1.675270.281250.3755.625
[1.7,1.75[1.725150.156250.531253.125
[1.75,1.8[1.775150.156250.68753.125
[1.8,1.85[1.825170.1770830.8645833.541667
[1.85,1.9[1.87550.0520830.9166671.041667
[1.9,1.95]1.92580.08333311.666666



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.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)
}
dev.off()
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')