Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 27 May 2009 15:27:13 -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/May/27/t1243459750lcht31a9iv7u9j1.htm/, Retrieved Thu, 02 May 2024 17:20:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40511, Retrieved Thu, 02 May 2024 17:20:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Annelies Reul con...] [2009-05-27 21:27:13] [9202dc9f5562cf74198e3e368d8190ce] [Current]
-   P     [Histogram] [Annelies Reul con...] [2009-05-27 21:33:24] [d7df5c9fd3abb175149ef024e75d4180]
-   P     [Histogram] [Annelies Reul con...] [2009-05-27 21:35:42] [d7df5c9fd3abb175149ef024e75d4180]
- RMP     [Kernel Density Estimation] [Annelies Reul con...] [2009-05-27 21:38:26] [d7df5c9fd3abb175149ef024e75d4180]
- RMP     [Harrell-Davis Quantiles] [Annelies Reul con...] [2009-05-27 21:41:37] [d7df5c9fd3abb175149ef024e75d4180]
- RMP     [Harrell-Davis Quantiles] [Annelies Reul con...] [2009-05-27 21:43:37] [d7df5c9fd3abb175149ef024e75d4180]
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Dataseries X:
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20




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=40511&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=40511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40511&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
[-25,-20[-22.520.0273970.0273970.005479
[-20,-15[-17.530.0410960.0684930.008219
[-15,-10[-12.5120.1643840.2328770.032877
[-10,-5[-7.5200.2739730.5068490.054795
[-5,0[-2.5290.397260.904110.079452
[0,5]2.570.0958910.019178

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 2 & 0.027397 & 0.027397 & 0.005479 \tabularnewline
[-20,-15[ & -17.5 & 3 & 0.041096 & 0.068493 & 0.008219 \tabularnewline
[-15,-10[ & -12.5 & 12 & 0.164384 & 0.232877 & 0.032877 \tabularnewline
[-10,-5[ & -7.5 & 20 & 0.273973 & 0.506849 & 0.054795 \tabularnewline
[-5,0[ & -2.5 & 29 & 0.39726 & 0.90411 & 0.079452 \tabularnewline
[0,5] & 2.5 & 7 & 0.09589 & 1 & 0.019178 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40511&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][-25,-20[[/C][C]-22.5[/C][C]2[/C][C]0.027397[/C][C]0.027397[/C][C]0.005479[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]3[/C][C]0.041096[/C][C]0.068493[/C][C]0.008219[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]12[/C][C]0.164384[/C][C]0.232877[/C][C]0.032877[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]20[/C][C]0.273973[/C][C]0.506849[/C][C]0.054795[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]29[/C][C]0.39726[/C][C]0.90411[/C][C]0.079452[/C][/ROW]
[ROW][C][0,5][/C][C]2.5[/C][C]7[/C][C]0.09589[/C][C]1[/C][C]0.019178[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40511&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
[-25,-20[-22.520.0273970.0273970.005479
[-20,-15[-17.530.0410960.0684930.008219
[-15,-10[-12.5120.1643840.2328770.032877
[-10,-5[-7.5200.2739730.5068490.054795
[-5,0[-2.5290.397260.904110.079452
[0,5]2.570.0958910.019178



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')