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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 26 Feb 2008 09:29:17 -0700

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/Feb/26/t1204043430dxj1kgkxca4z9ts.htm/, Retrieved Sun, 05 May 2024 07:21:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9162, Retrieved Sun, 05 May 2024 07:21:31 +0000

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Original text written by user:

jef fabri

IsPrivate?

No (this computation is public)

User-defined keywords

frequentietabel op eigen cijfers van oefening 1.

Estimated Impact

168

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

-       [Histogram] [frequentietabelOe...] [2008-02-26 16:29:17] [7a13b4e8031ac17f0f1c40f18b0f7359] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of compuational 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 compuational 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=9162&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9162&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 compuational 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
[64,66[	65	2	0.027778	0.027778	0.013889
[66,68[	67	2	0.027778	0.055556	0.013889
[68,70[	69	9	0.125	0.180556	0.0625
[70,72[	71	3	0.041667	0.222222	0.020833
[72,74[	73	9	0.125	0.347222	0.0625
[74,76[	75	6	0.083333	0.430556	0.041667
[76,78[	77	13	0.180556	0.611111	0.090278
[78,80[	79	8	0.111111	0.722222	0.055556
[80,82[	81	10	0.138889	0.861111	0.069444
[82,84]	83	10	0.138889	1	0.069444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[64,66[ & 65 & 2 & 0.027778 & 0.027778 & 0.013889 \tabularnewline
[66,68[ & 67 & 2 & 0.027778 & 0.055556 & 0.013889 \tabularnewline
[68,70[ & 69 & 9 & 0.125 & 0.180556 & 0.0625 \tabularnewline
[70,72[ & 71 & 3 & 0.041667 & 0.222222 & 0.020833 \tabularnewline
[72,74[ & 73 & 9 & 0.125 & 0.347222 & 0.0625 \tabularnewline
[74,76[ & 75 & 6 & 0.083333 & 0.430556 & 0.041667 \tabularnewline
[76,78[ & 77 & 13 & 0.180556 & 0.611111 & 0.090278 \tabularnewline
[78,80[ & 79 & 8 & 0.111111 & 0.722222 & 0.055556 \tabularnewline
[80,82[ & 81 & 10 & 0.138889 & 0.861111 & 0.069444 \tabularnewline
[82,84] & 83 & 10 & 0.138889 & 1 & 0.069444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9162&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][64,66[[/C][C]65[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.013889[/C][/ROW]
[ROW][C][66,68[[/C][C]67[/C][C]2[/C][C]0.027778[/C][C]0.055556[/C][C]0.013889[/C][/ROW]
[ROW][C][68,70[[/C][C]69[/C][C]9[/C][C]0.125[/C][C]0.180556[/C][C]0.0625[/C][/ROW]
[ROW][C][70,72[[/C][C]71[/C][C]3[/C][C]0.041667[/C][C]0.222222[/C][C]0.020833[/C][/ROW]
[ROW][C][72,74[[/C][C]73[/C][C]9[/C][C]0.125[/C][C]0.347222[/C][C]0.0625[/C][/ROW]
[ROW][C][74,76[[/C][C]75[/C][C]6[/C][C]0.083333[/C][C]0.430556[/C][C]0.041667[/C][/ROW]
[ROW][C][76,78[[/C][C]77[/C][C]13[/C][C]0.180556[/C][C]0.611111[/C][C]0.090278[/C][/ROW]
[ROW][C][78,80[[/C][C]79[/C][C]8[/C][C]0.111111[/C][C]0.722222[/C][C]0.055556[/C][/ROW]
[ROW][C][80,82[[/C][C]81[/C][C]10[/C][C]0.138889[/C][C]0.861111[/C][C]0.069444[/C][/ROW]
[ROW][C][82,84][/C][C]83[/C][C]10[/C][C]0.138889[/C][C]1[/C][C]0.069444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9162&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
[64,66[	65	2	0.027778	0.027778	0.013889
[66,68[	67	2	0.027778	0.055556	0.013889
[68,70[	69	9	0.125	0.180556	0.0625
[70,72[	71	3	0.041667	0.222222	0.020833
[72,74[	73	9	0.125	0.347222	0.0625
[74,76[	75	6	0.083333	0.430556	0.041667
[76,78[	77	13	0.180556	0.611111	0.090278
[78,80[	79	8	0.111111	0.722222	0.055556
[80,82[	81	10	0.138889	0.861111	0.069444
[82,84]	83	10	0.138889	1	0.069444

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code