## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 04 Mar 2010 10:09:07 -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/Mar/04/t12677226298kv9m4w5z7qmn7w.htm/, Retrieved Fri, 27 May 2022 02:25:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73979, Retrieved Fri, 27 May 2022 02:25:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [frequentietabel] [2010-02-07 11:34:07] [4c8439c15e3f5c5031b0df7519a2d1d9]
-       [Histogram] [] [2010-02-22 17:21:02] [74be16979710d4c4e7c6647856088456]
-   P     [Histogram] [gesimuleerde hist...] [2010-02-22 17:46:13] [74be16979710d4c4e7c6647856088456]
-           [Histogram] [gesimuleerde hist...] [2010-02-22 17:49:10] [74be16979710d4c4e7c6647856088456]
-   P           [Histogram] [verbeterde gesimu...] [2010-03-04 17:09:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2.42
2.42
2.42
2.42
2.42
2.43
2.43
2.43
2.44
2.44
2.44
2.43
2.42
2.41
2.38
2.38
2.37
2.37
2.37
2.36
2.32
2.25
2.25
2.24
2.24
2.23
2.22
2.22
2.21
2.21
2.20
2.21
2.20
2.21
2.21
2.21
2.20
2.20
2.19
2.19
2.19
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.18
2.17
2.18
2.17
2.17
2.18
2.18
2.18
2.17


 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=73979&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=73979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73979&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 [2.16,2.18[ 2.17 13 0.180556 0.180556 9.027778 [2.18,2.2[ 2.19 21 0.291667 0.472222 14.583333 [2.2,2.22[ 2.21 10 0.138889 0.611111 6.944444 [2.22,2.24[ 2.23 3 0.041667 0.652778 2.083333 [2.24,2.26[ 2.25 4 0.055556 0.708333 2.777778 [2.26,2.28[ 2.27 0 0 0.708333 0 [2.28,2.3[ 2.29 0 0 0.708333 0 [2.3,2.32[ 2.31 0 0 0.708333 0 [2.32,2.34[ 2.33 1 0.013889 0.722222 0.694444 [2.34,2.36[ 2.35 0 0 0.722222 0 [2.36,2.38[ 2.37 4 0.055556 0.777778 2.777778 [2.38,2.4[ 2.39 2 0.027778 0.805556 1.388889 [2.4,2.42[ 2.41 1 0.013889 0.819444 0.694444 [2.42,2.44] 2.43 13 0.180556 1 9.027776

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.16,2.18[ & 2.17 & 13 & 0.180556 & 0.180556 & 9.027778 \tabularnewline
[2.18,2.2[ & 2.19 & 21 & 0.291667 & 0.472222 & 14.583333 \tabularnewline
[2.2,2.22[ & 2.21 & 10 & 0.138889 & 0.611111 & 6.944444 \tabularnewline
[2.22,2.24[ & 2.23 & 3 & 0.041667 & 0.652778 & 2.083333 \tabularnewline
[2.24,2.26[ & 2.25 & 4 & 0.055556 & 0.708333 & 2.777778 \tabularnewline
[2.26,2.28[ & 2.27 & 0 & 0 & 0.708333 & 0 \tabularnewline
[2.28,2.3[ & 2.29 & 0 & 0 & 0.708333 & 0 \tabularnewline
[2.3,2.32[ & 2.31 & 0 & 0 & 0.708333 & 0 \tabularnewline
[2.32,2.34[ & 2.33 & 1 & 0.013889 & 0.722222 & 0.694444 \tabularnewline
[2.34,2.36[ & 2.35 & 0 & 0 & 0.722222 & 0 \tabularnewline
[2.36,2.38[ & 2.37 & 4 & 0.055556 & 0.777778 & 2.777778 \tabularnewline
[2.38,2.4[ & 2.39 & 2 & 0.027778 & 0.805556 & 1.388889 \tabularnewline
[2.4,2.42[ & 2.41 & 1 & 0.013889 & 0.819444 & 0.694444 \tabularnewline
[2.42,2.44] & 2.43 & 13 & 0.180556 & 1 & 9.027776 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73979&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][2.16,2.18[[/C][C]2.17[/C][C]13[/C][C]0.180556[/C][C]0.180556[/C][C]9.027778[/C][/ROW]
[ROW][C][2.18,2.2[[/C][C]2.19[/C][C]21[/C][C]0.291667[/C][C]0.472222[/C][C]14.583333[/C][/ROW]
[ROW][C][2.2,2.22[[/C][C]2.21[/C][C]10[/C][C]0.138889[/C][C]0.611111[/C][C]6.944444[/C][/ROW]
[ROW][C][2.22,2.24[[/C][C]2.23[/C][C]3[/C][C]0.041667[/C][C]0.652778[/C][C]2.083333[/C][/ROW]
[ROW][C][2.24,2.26[[/C][C]2.25[/C][C]4[/C][C]0.055556[/C][C]0.708333[/C][C]2.777778[/C][/ROW]
[ROW][C][2.26,2.28[[/C][C]2.27[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][2.28,2.3[[/C][C]2.29[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][2.3,2.32[[/C][C]2.31[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][2.32,2.34[[/C][C]2.33[/C][C]1[/C][C]0.013889[/C][C]0.722222[/C][C]0.694444[/C][/ROW]
[ROW][C][2.34,2.36[[/C][C]2.35[/C][C]0[/C][C]0[/C][C]0.722222[/C][C]0[/C][/ROW]
[ROW][C][2.36,2.38[[/C][C]2.37[/C][C]4[/C][C]0.055556[/C][C]0.777778[/C][C]2.777778[/C][/ROW]
[ROW][C][2.38,2.4[[/C][C]2.39[/C][C]2[/C][C]0.027778[/C][C]0.805556[/C][C]1.388889[/C][/ROW]
[ROW][C][2.4,2.42[[/C][C]2.41[/C][C]1[/C][C]0.013889[/C][C]0.819444[/C][C]0.694444[/C][/ROW]
[ROW][C][2.42,2.44][/C][C]2.43[/C][C]13[/C][C]0.180556[/C][C]1[/C][C]9.027776[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73979&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 [2.16,2.18[ 2.17 13 0.180556 0.180556 9.027778 [2.18,2.2[ 2.19 21 0.291667 0.472222 14.583333 [2.2,2.22[ 2.21 10 0.138889 0.611111 6.944444 [2.22,2.24[ 2.23 3 0.041667 0.652778 2.083333 [2.24,2.26[ 2.25 4 0.055556 0.708333 2.777778 [2.26,2.28[ 2.27 0 0 0.708333 0 [2.28,2.3[ 2.29 0 0 0.708333 0 [2.3,2.32[ 2.31 0 0 0.708333 0 [2.32,2.34[ 2.33 1 0.013889 0.722222 0.694444 [2.34,2.36[ 2.35 0 0 0.722222 0 [2.36,2.38[ 2.37 4 0.055556 0.777778 2.777778 [2.38,2.4[ 2.39 2 0.027778 0.805556 1.388889 [2.4,2.42[ 2.41 1 0.013889 0.819444 0.694444 [2.42,2.44] 2.43 13 0.180556 1 9.027776

 PNG link Postscript link PDF link

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
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')