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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 26 Sep 2009 02:59:41 -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/2009/Sep/26/t1253955724rte8b65ogv6zbkh.htm/, Retrieved Thu, 25 Apr 2024 21:32:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43025, Retrieved Thu, 25 Apr 2024 21:32:40 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

200

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

-       [Histogram] [Gemiddelde consum...] [2009-09-26 08:59:41] [ddb1c76c3acba5bf82e5ed3b5a08f68d] [Current]

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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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43025&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43025&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43025&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	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[16,16.5[	16.25	2	0.025974	0.025974	0.051948
[16.5,17[	16.75	8	0.103896	0.12987	0.207792
[17,17.5[	17.25	13	0.168831	0.298701	0.337662
[17.5,18[	17.75	9	0.116883	0.415584	0.233766
[18,18.5[	18.25	12	0.155844	0.571429	0.311688
[18.5,19[	18.75	7	0.090909	0.662338	0.181818
[19,19.5[	19.25	7	0.090909	0.753247	0.181818
[19.5,20[	19.75	9	0.116883	0.87013	0.233766
[20,20.5[	20.25	6	0.077922	0.948052	0.155844
[20.5,21[	20.75	3	0.038961	0.987013	0.077922
[21,21.5]	21.25	1	0.012987	1	0.025974

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[16,16.5[ & 16.25 & 2 & 0.025974 & 0.025974 & 0.051948 \tabularnewline
[16.5,17[ & 16.75 & 8 & 0.103896 & 0.12987 & 0.207792 \tabularnewline
[17,17.5[ & 17.25 & 13 & 0.168831 & 0.298701 & 0.337662 \tabularnewline
[17.5,18[ & 17.75 & 9 & 0.116883 & 0.415584 & 0.233766 \tabularnewline
[18,18.5[ & 18.25 & 12 & 0.155844 & 0.571429 & 0.311688 \tabularnewline
[18.5,19[ & 18.75 & 7 & 0.090909 & 0.662338 & 0.181818 \tabularnewline
[19,19.5[ & 19.25 & 7 & 0.090909 & 0.753247 & 0.181818 \tabularnewline
[19.5,20[ & 19.75 & 9 & 0.116883 & 0.87013 & 0.233766 \tabularnewline
[20,20.5[ & 20.25 & 6 & 0.077922 & 0.948052 & 0.155844 \tabularnewline
[20.5,21[ & 20.75 & 3 & 0.038961 & 0.987013 & 0.077922 \tabularnewline
[21,21.5] & 21.25 & 1 & 0.012987 & 1 & 0.025974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43025&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][16,16.5[[/C][C]16.25[/C][C]2[/C][C]0.025974[/C][C]0.025974[/C][C]0.051948[/C][/ROW]
[ROW][C][16.5,17[[/C][C]16.75[/C][C]8[/C][C]0.103896[/C][C]0.12987[/C][C]0.207792[/C][/ROW]
[ROW][C][17,17.5[[/C][C]17.25[/C][C]13[/C][C]0.168831[/C][C]0.298701[/C][C]0.337662[/C][/ROW]
[ROW][C][17.5,18[[/C][C]17.75[/C][C]9[/C][C]0.116883[/C][C]0.415584[/C][C]0.233766[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]12[/C][C]0.155844[/C][C]0.571429[/C][C]0.311688[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]7[/C][C]0.090909[/C][C]0.662338[/C][C]0.181818[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]7[/C][C]0.090909[/C][C]0.753247[/C][C]0.181818[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]9[/C][C]0.116883[/C][C]0.87013[/C][C]0.233766[/C][/ROW]
[ROW][C][20,20.5[[/C][C]20.25[/C][C]6[/C][C]0.077922[/C][C]0.948052[/C][C]0.155844[/C][/ROW]
[ROW][C][20.5,21[[/C][C]20.75[/C][C]3[/C][C]0.038961[/C][C]0.987013[/C][C]0.077922[/C][/ROW]
[ROW][C][21,21.5][/C][C]21.25[/C][C]1[/C][C]0.012987[/C][C]1[/C][C]0.025974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43025&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43025&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
[16,16.5[	16.25	2	0.025974	0.025974	0.051948
[16.5,17[	16.75	8	0.103896	0.12987	0.207792
[17,17.5[	17.25	13	0.168831	0.298701	0.337662
[17.5,18[	17.75	9	0.116883	0.415584	0.233766
[18,18.5[	18.25	12	0.155844	0.571429	0.311688
[18.5,19[	18.75	7	0.090909	0.662338	0.181818
[19,19.5[	19.25	7	0.090909	0.753247	0.181818
[19.5,20[	19.75	9	0.116883	0.87013	0.233766
[20,20.5[	20.25	6	0.077922	0.948052	0.155844
[20.5,21[	20.75	3	0.038961	0.987013	0.077922
[21,21.5]	21.25	1	0.012987	1	0.025974

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

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