## Free Statistics

of Irreproducible Research!

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 Sat, 14 Sep 2024 13:46:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72916, Retrieved Sat, 14 Sep 2024 13:46:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact312
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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'Gwilym Jenkins' @ 72.249.127.135

 Frequency Table (Histogram) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0,1[ 0.5 2 0.027778 0.027778 0.027778 [1,2[ 1.5 3 0.041667 0.069444 0.041667 [2,3[ 2.5 6 0.083333 0.152778 0.083333 [3,4[ 3.5 5 0.069444 0.222222 0.069444 [4,5[ 4.5 21 0.291667 0.513889 0.291667 [5,6[ 5.5 11 0.152778 0.666667 0.152778 [6,7[ 6.5 11 0.152778 0.819444 0.152778 [7,8[ 7.5 8 0.111111 0.930556 0.111111 [8,9[ 8.5 2 0.027778 0.958333 0.027778 [9,10] 9.5 3 0.041667 1 0.041667

\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) Bins Midpoint Abs. Frequency Rel. Frequency Cumul. Rel. Freq. Density [0,1[ 0.5 2 0.027778 0.027778 0.027778 [1,2[ 1.5 3 0.041667 0.069444 0.041667 [2,3[ 2.5 6 0.083333 0.152778 0.083333 [3,4[ 3.5 5 0.069444 0.222222 0.069444 [4,5[ 4.5 21 0.291667 0.513889 0.291667 [5,6[ 5.5 11 0.152778 0.666667 0.152778 [6,7[ 6.5 11 0.152778 0.819444 0.152778 [7,8[ 7.5 8 0.111111 0.930556 0.111111 [8,9[ 8.5 2 0.027778 0.958333 0.027778 [9,10] 9.5 3 0.041667 1 0.041667

par1 <- as.numeric(par1)if (par3 == 'TRUE') par3 <- TRUEif (par3 == 'FALSE') par3 <- FALSEif (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 <- 3if (par1 > 50) par1 <- 50myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)}dev.off()myhistn <- 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 <- 0if (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='')elsedum <- paste(mybracket,myhist$breaks[i],sep='')dum <- paste(dum,myhist$breaks[i+1],sep=',')if (i==mynumrows)dum <- paste(dum,']',sep='')elsedum <- 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$counts[i]/ncrf <- crf + rfa<-table.element(a,round(rf,6))a<-table.element(a,round(crf,6))a<-table.element(a,round(myhist$density[i],6))a<-table.row.end(a)}a<-table.end(a)table.save(a,file='mytable.tab')