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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 22 Sep 2008 03:37:49 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Sep/22/t1222076426lvsbbb3m3hf5q3d.htm/, Retrieved Wed, 15 May 2024 07:12:47 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14724, Retrieved Wed, 15 May 2024 07:12:47 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

253

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [Frequentietabel l...] [2008-09-22 09:37:49] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D    [Histogram] [test parent child...] [2008-09-22 11:31:44] [74be16979710d4c4e7c6647856088456] 
-    D    [Histogram] [test parent child...] [2008-09-22 11:31:44] [74be16979710d4c4e7c6647856088456] 
-    D      [Histogram] [test ed bug] [2008-09-22 11:55:27] [74be16979710d4c4e7c6647856088456] 
-    D    [Histogram] [test parent child...] [2008-09-22 11:31:44] [74be16979710d4c4e7c6647856088456] 
-         [Histogram] [test ed bug] [2008-09-22 12:11:05] [74be16979710d4c4e7c6647856088456] 
-         [Histogram] [parent child test...] [2008-09-22 15:51:50] [74be16979710d4c4e7c6647856088456] 
- RMPD      [Spectral Analysis] [spectral 1] [2010-12-10 17:59:29] [7d64bf19f34ddcdf2626356c9d5bd60d] 
-             [Spectral Analysis] [spectral 2] [2010-12-10 18:12:29] [7d64bf19f34ddcdf2626356c9d5bd60d] 
-               [Spectral Analysis] [spectral analysis 4] [2010-12-10 18:20:44] [7d64bf19f34ddcdf2626356c9d5bd60d] 
-               [Spectral Analysis] [spectral 5] [2010-12-10 18:25:55] [7d64bf19f34ddcdf2626356c9d5bd60d] 
- RM            [ARIMA Backward Selection] [arma] [2010-12-10 18:32:39] [7d64bf19f34ddcdf2626356c9d5bd60d] 
- R       [Histogram] [parent child test...] [2008-09-22 15:56:20] [74be16979710d4c4e7c6647856088456] 
- RM      [Insurance Experiment] [parent child test...] [2008-09-22 15:58:33] [74be16979710d4c4e7c6647856088456] 
-           [Insurance Experiment] [parent child test...] [2008-09-22 17:10:05] [74be16979710d4c4e7c6647856088456] 
-             [Insurance Experiment] [parent child test...] [2008-09-22 17:15:30] [74be16979710d4c4e7c6647856088456] 
- R P           [Insurance Experiment] [parent child test...] [2008-09-23 09:35:46] [74be16979710d4c4e7c6647856088456] 
-   P       [Insurance Experiment] [parent child test...] [2008-09-24 06:41:43] [74be16979710d4c4e7c6647856088456] 
F R P       [Insurance Experiment] [parent child test...] [2008-09-24 06:44:09] [74be16979710d4c4e7c6647856088456] 
- R       [Histogram] [parent child test...] [2008-09-24 06:46:14] [74be16979710d4c4e7c6647856088456] 
-   P       [Histogram] [parent child test...] [2008-09-24 06:48:22] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14724&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]2 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=14724&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14724&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0.5,1.5[	1	1	0.025	0.025	0.025
[1.5,2.5[	2	2	0.05	0.075	0.05
[2.5,3.5[	3	0	0	0.075	0
[3.5,4.5[	4	0	0	0.075	0
[4.5,5.5[	5	0	0	0.075	0
[5.5,6.5[	6	1	0.025	0.1	0.025
[6.5,7.5[	7	9	0.225	0.325	0.225
[7.5,8.5[	8	10	0.25	0.575	0.25
[8.5,9.5[	9	13	0.325	0.9	0.325
[9.5,10.5]	10	4	0.1	1	0.1

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.5,1.5[ & 1 & 1 & 0.025 & 0.025 & 0.025 \tabularnewline
[1.5,2.5[ & 2 & 2 & 0.05 & 0.075 & 0.05 \tabularnewline
[2.5,3.5[ & 3 & 0 & 0 & 0.075 & 0 \tabularnewline
[3.5,4.5[ & 4 & 0 & 0 & 0.075 & 0 \tabularnewline
[4.5,5.5[ & 5 & 0 & 0 & 0.075 & 0 \tabularnewline
[5.5,6.5[ & 6 & 1 & 0.025 & 0.1 & 0.025 \tabularnewline
[6.5,7.5[ & 7 & 9 & 0.225 & 0.325 & 0.225 \tabularnewline
[7.5,8.5[ & 8 & 10 & 0.25 & 0.575 & 0.25 \tabularnewline
[8.5,9.5[ & 9 & 13 & 0.325 & 0.9 & 0.325 \tabularnewline
[9.5,10.5] & 10 & 4 & 0.1 & 1 & 0.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14724&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][0.5,1.5[[/C][C]1[/C][C]1[/C][C]0.025[/C][C]0.025[/C][C]0.025[/C][/ROW]
[ROW][C][1.5,2.5[[/C][C]2[/C][C]2[/C][C]0.05[/C][C]0.075[/C][C]0.05[/C][/ROW]
[ROW][C][2.5,3.5[[/C][C]3[/C][C]0[/C][C]0[/C][C]0.075[/C][C]0[/C][/ROW]
[ROW][C][3.5,4.5[[/C][C]4[/C][C]0[/C][C]0[/C][C]0.075[/C][C]0[/C][/ROW]
[ROW][C][4.5,5.5[[/C][C]5[/C][C]0[/C][C]0[/C][C]0.075[/C][C]0[/C][/ROW]
[ROW][C][5.5,6.5[[/C][C]6[/C][C]1[/C][C]0.025[/C][C]0.1[/C][C]0.025[/C][/ROW]
[ROW][C][6.5,7.5[[/C][C]7[/C][C]9[/C][C]0.225[/C][C]0.325[/C][C]0.225[/C][/ROW]
[ROW][C][7.5,8.5[[/C][C]8[/C][C]10[/C][C]0.25[/C][C]0.575[/C][C]0.25[/C][/ROW]
[ROW][C][8.5,9.5[[/C][C]9[/C][C]13[/C][C]0.325[/C][C]0.9[/C][C]0.325[/C][/ROW]
[ROW][C][9.5,10.5][/C][C]10[/C][C]4[/C][C]0.1[/C][C]1[/C][C]0.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14724&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14724&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
[0.5,1.5[	1	1	0.025	0.025	0.025
[1.5,2.5[	2	2	0.05	0.075	0.05
[2.5,3.5[	3	0	0	0.075	0
[3.5,4.5[	4	0	0	0.075	0
[4.5,5.5[	5	0	0	0.075	0
[5.5,6.5[	6	1	0.025	0.1	0.025
[6.5,7.5[	7	9	0.225	0.325	0.225
[7.5,8.5[	8	10	0.25	0.575	0.25
[8.5,9.5[	9	13	0.325	0.9	0.325
[9.5,10.5]	10	4	0.1	1	0.1

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = 10-point Likert ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = 10-point Likert ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code