Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 06 Oct 2009 02:41:58 -0600
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/Oct/06/t1254818611isd4pyeopct8qlz.htm/, Retrieved Thu, 02 May 2024 22:49:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43984, Retrieved Thu, 02 May 2024 22:49:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Gemiddelde consum...] [2009-10-06 08:41:58] [461523bf9c5715e033e9a40193969321] [Current]
-         [Histogram] [Gemiddelde consum...] [2009-10-06 15:58:07] [f8347de4a714cb7b635f4db9c8dbf7b5]
- RMP     [Kernel Density Estimation] [Gemiddelde consum...] [2009-10-06 16:12:15] [f8347de4a714cb7b635f4db9c8dbf7b5]
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Dataseries X:
0.62
0.62
0.62
0.63
0.62
0.63
0.63
0.62
0.63
0.63
0.63
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.63
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.64
0.65
0.65
0.65
0.65
0.65
0.65
0.66
0.66
0.66
0.66
0.68
0.69
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.71
0.7
0.71
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.7
0.71
0.71
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.7
0.7
0.68
0.68
0.69
0.69
0.7
0.7
0.7
0.7
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.76
0.77
0.78
0.85
0.89
0.9
0.91
0.91
0.91
0.9
0.89
0.88
0.87
0.86
0.87
0.87
0.87
0.85




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43984&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43984&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43984&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'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.6,0.65[0.625320.2424240.2424244.848485
[0.65,0.7[0.675160.1212120.3636362.424242
[0.7,0.75[0.725660.50.86363610
[0.75,0.8[0.77530.0227270.8863640.454545
[0.8,0.85[0.825000.8863640
[0.85,0.9[0.875100.0757580.9621211.515152
[0.9,0.95]0.92550.03787910.757576

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.6,0.65[ & 0.625 & 32 & 0.242424 & 0.242424 & 4.848485 \tabularnewline
[0.65,0.7[ & 0.675 & 16 & 0.121212 & 0.363636 & 2.424242 \tabularnewline
[0.7,0.75[ & 0.725 & 66 & 0.5 & 0.863636 & 10 \tabularnewline
[0.75,0.8[ & 0.775 & 3 & 0.022727 & 0.886364 & 0.454545 \tabularnewline
[0.8,0.85[ & 0.825 & 0 & 0 & 0.886364 & 0 \tabularnewline
[0.85,0.9[ & 0.875 & 10 & 0.075758 & 0.962121 & 1.515152 \tabularnewline
[0.9,0.95] & 0.925 & 5 & 0.037879 & 1 & 0.757576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43984&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][0.6,0.65[[/C][C]0.625[/C][C]32[/C][C]0.242424[/C][C]0.242424[/C][C]4.848485[/C][/ROW]
[ROW][C][0.65,0.7[[/C][C]0.675[/C][C]16[/C][C]0.121212[/C][C]0.363636[/C][C]2.424242[/C][/ROW]
[ROW][C][0.7,0.75[[/C][C]0.725[/C][C]66[/C][C]0.5[/C][C]0.863636[/C][C]10[/C][/ROW]
[ROW][C][0.75,0.8[[/C][C]0.775[/C][C]3[/C][C]0.022727[/C][C]0.886364[/C][C]0.454545[/C][/ROW]
[ROW][C][0.8,0.85[[/C][C]0.825[/C][C]0[/C][C]0[/C][C]0.886364[/C][C]0[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]10[/C][C]0.075758[/C][C]0.962121[/C][C]1.515152[/C][/ROW]
[ROW][C][0.9,0.95][/C][C]0.925[/C][C]5[/C][C]0.037879[/C][C]1[/C][C]0.757576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43984&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43984&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
[0.6,0.65[0.625320.2424240.2424244.848485
[0.65,0.7[0.675160.1212120.3636362.424242
[0.7,0.75[0.725660.50.86363610
[0.75,0.8[0.77530.0227270.8863640.454545
[0.8,0.85[0.825000.8863640
[0.85,0.9[0.875100.0757580.9621211.515152
[0.9,0.95]0.92550.03787910.757576



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')