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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 09 Feb 2010 11:47:42 -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/09/t1265742277xnim3xvit0xf4gt.htm/, Retrieved Wed, 05 Oct 2022 17:47:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72916, Retrieved Wed, 05 Oct 2022 17:47:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2010-02-09 18:47:42] [6e7287b10f2e025d8fb6ac937e773999] [Current]
- RMPD    [Univariate Data Series] [] [2010-02-23 19:55:45] [2b5a188751227050025c4bb07404e527]
-    D      [Univariate Data Series] [] [2010-02-26 09:32:04] [dea45ab8e4e46408b0d65132858ffc53]
- RMPD      [Histogram] [] [2010-02-26 09:37:42] [2b5a188751227050025c4bb07404e527]
- R PD      [Univariate Data Series] [] [2010-06-02 08:43:13] [2b5a188751227050025c4bb07404e527]
-    D    [Histogram] [] [2010-02-23 19:58:34] [2b5a188751227050025c4bb07404e527]
-    D      [Histogram] [] [2010-02-26 09:59:32] [2b5a188751227050025c4bb07404e527]
-   P         [Histogram] [] [2010-02-26 10:12:05] [2b5a188751227050025c4bb07404e527]
-   PD      [Histogram] [] [2010-02-26 10:02:37] [2b5a188751227050025c4bb07404e527]
-   PD      [Histogram] [] [2010-02-26 10:03:50] [2b5a188751227050025c4bb07404e527]
-   PD      [Histogram] [] [2010-02-26 10:06:32] [2b5a188751227050025c4bb07404e527]
- RMPD    [Kernel Density Estimation] [] [2010-02-23 20:03:17] [2b5a188751227050025c4bb07404e527]
-    D      [Kernel Density Estimation] [] [2010-02-26 10:24:45] [2b5a188751227050025c4bb07404e527]
-         [Histogram] [] [2010-02-23 20:20:41] [2b5a188751227050025c4bb07404e527]
- RMP       [Quartiles] [] [2010-06-02 09:36:34] [2b5a188751227050025c4bb07404e527]
- RMPD      [Notched Boxplots] [] [2010-06-02 09:55:03] [2b5a188751227050025c4bb07404e527]
- RMP     [Kernel Density Estimation] [] [2010-02-23 20:27:49] [2b5a188751227050025c4bb07404e527]
- RMPD    [Notched Boxplots] [] [2010-03-03 23:06:28] [2b5a188751227050025c4bb07404e527]
- RMP     [Quartiles] [] [2010-03-05 09:50:20] [2b5a188751227050025c4bb07404e527]
- RMP     [Notched Boxplots] [] [2010-03-05 09:54:39] [2b5a188751227050025c4bb07404e527]
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Dataseries X:
2
2.4
1.5
1.2
1.5
0.6
2.7
3.7
4.9
6.6
7.4
7.2
5.3
4.7
6.1
6.6
7
7.5
6.6
7.8
4.7
5.4
4.3
4.5
5.8
4.6
5.2
3.6
4.8
6.7
6.3
4.8
8.7
6.8
7.4
9
7.9
9.1
8.7
9.8
6.4
6.1
4.7
4.8
4.2
2.8
6.1
5.8
4.9
4.6
4.1
3.6
5.9
4.5
4.8
5.7
5
7
4.6
2.6
5
4.1
3.2
0
2.3
3.8
4.5
5.9
5
4.2
4.5
6




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=72916&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=72916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72916&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
[0,1[0.520.0277780.0277780.027778
[1,2[1.530.0416670.0694440.041667
[2,3[2.560.0833330.1527780.083333
[3,4[3.550.0694440.2222220.069444
[4,5[4.5210.2916670.5138890.291667
[5,6[5.5110.1527780.6666670.152778
[6,7[6.5110.1527780.8194440.152778
[7,8[7.580.1111110.9305560.111111
[8,9[8.520.0277780.9583330.027778
[9,10]9.530.04166710.041667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 2 & 0.027778 & 0.027778 & 0.027778 \tabularnewline
[1,2[ & 1.5 & 3 & 0.041667 & 0.069444 & 0.041667 \tabularnewline
[2,3[ & 2.5 & 6 & 0.083333 & 0.152778 & 0.083333 \tabularnewline
[3,4[ & 3.5 & 5 & 0.069444 & 0.222222 & 0.069444 \tabularnewline
[4,5[ & 4.5 & 21 & 0.291667 & 0.513889 & 0.291667 \tabularnewline
[5,6[ & 5.5 & 11 & 0.152778 & 0.666667 & 0.152778 \tabularnewline
[6,7[ & 6.5 & 11 & 0.152778 & 0.819444 & 0.152778 \tabularnewline
[7,8[ & 7.5 & 8 & 0.111111 & 0.930556 & 0.111111 \tabularnewline
[8,9[ & 8.5 & 2 & 0.027778 & 0.958333 & 0.027778 \tabularnewline
[9,10] & 9.5 & 3 & 0.041667 & 1 & 0.041667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72916&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][0,1[[/C][C]0.5[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.027778[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]3[/C][C]0.041667[/C][C]0.069444[/C][C]0.041667[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]6[/C][C]0.083333[/C][C]0.152778[/C][C]0.083333[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]5[/C][C]0.069444[/C][C]0.222222[/C][C]0.069444[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]21[/C][C]0.291667[/C][C]0.513889[/C][C]0.291667[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]11[/C][C]0.152778[/C][C]0.666667[/C][C]0.152778[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]11[/C][C]0.152778[/C][C]0.819444[/C][C]0.152778[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]8[/C][C]0.111111[/C][C]0.930556[/C][C]0.111111[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]0.027778[/C][/ROW]
[ROW][C][9,10][/C][C]9.5[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.041667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72916&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
[0,1[0.520.0277780.0277780.027778
[1,2[1.530.0416670.0694440.041667
[2,3[2.560.0833330.1527780.083333
[3,4[3.550.0694440.2222220.069444
[4,5[4.5210.2916670.5138890.291667
[5,6[5.5110.1527780.6666670.152778
[6,7[6.5110.1527780.8194440.152778
[7,8[7.580.1111110.9305560.111111
[8,9[8.520.0277780.9583330.027778
[9,10]9.530.04166710.041667



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')