Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 24 Feb 2010 09:17:24 -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/2010/Feb/24/t1267028461x3zlwjdxqqh3fje.htm/, Retrieved Tue, 16 Apr 2024 05:34:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73452, Retrieved Tue, 16 Apr 2024 05:34:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2010-02-24 16:04:08] [80b21141a30336c1c74d833296e8a067]
- RMPD  [Histogram] [] [2010-02-24 16:15:49] [80b21141a30336c1c74d833296e8a067]
-           [Histogram] [] [2010-02-24 16:17:24] [fa169e33c07134f82fd2ac8a5210a945] [Current]
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Dataseries X:
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.46
0.46
0.46
0.45
0.45
0.46
0.46
0.46
0.46
0.46
0.44
0.44
0.43
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.43
0.43
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41




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=73452&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=73452&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73452&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
[0.41,0.42[0.415210.2916670.29166729.166667
[0.42,0.43[0.425140.1944440.48611119.444444
[0.43,0.44[0.43530.0416670.5277784.166667
[0.44,0.45[0.445130.1805560.70833318.055556
[0.45,0.46[0.45520.0277780.7361112.777778
[0.46,0.47]0.465190.263889126.388884

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.41,0.42[ & 0.415 & 21 & 0.291667 & 0.291667 & 29.166667 \tabularnewline
[0.42,0.43[ & 0.425 & 14 & 0.194444 & 0.486111 & 19.444444 \tabularnewline
[0.43,0.44[ & 0.435 & 3 & 0.041667 & 0.527778 & 4.166667 \tabularnewline
[0.44,0.45[ & 0.445 & 13 & 0.180556 & 0.708333 & 18.055556 \tabularnewline
[0.45,0.46[ & 0.455 & 2 & 0.027778 & 0.736111 & 2.777778 \tabularnewline
[0.46,0.47] & 0.465 & 19 & 0.263889 & 1 & 26.388884 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73452&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][0.41,0.42[[/C][C]0.415[/C][C]21[/C][C]0.291667[/C][C]0.291667[/C][C]29.166667[/C][/ROW]
[ROW][C][0.42,0.43[[/C][C]0.425[/C][C]14[/C][C]0.194444[/C][C]0.486111[/C][C]19.444444[/C][/ROW]
[ROW][C][0.43,0.44[[/C][C]0.435[/C][C]3[/C][C]0.041667[/C][C]0.527778[/C][C]4.166667[/C][/ROW]
[ROW][C][0.44,0.45[[/C][C]0.445[/C][C]13[/C][C]0.180556[/C][C]0.708333[/C][C]18.055556[/C][/ROW]
[ROW][C][0.45,0.46[[/C][C]0.455[/C][C]2[/C][C]0.027778[/C][C]0.736111[/C][C]2.777778[/C][/ROW]
[ROW][C][0.46,0.47][/C][C]0.465[/C][C]19[/C][C]0.263889[/C][C]1[/C][C]26.388884[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73452&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73452&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
[0.41,0.42[0.415210.2916670.29166729.166667
[0.42,0.43[0.425140.1944440.48611119.444444
[0.43,0.44[0.43530.0416670.5277784.166667
[0.44,0.45[0.445130.1805560.70833318.055556
[0.45,0.46[0.45520.0277780.7361112.777778
[0.46,0.47]0.465190.263889126.388884



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')