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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 27 Sep 2009 07:30:05 -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/27/t1254058504i0vhm2ha2ckivxr.htm/, Retrieved Sat, 20 Apr 2024 10:11:22 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43050, Retrieved Sat, 20 Apr 2024 10:11:22 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP1W1

Estimated Impact

233

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

-       [Histogram] [] [2009-09-27 13:30:05] [46199ea7e385a69efb178ac615a86e3a] [Current]

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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	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=43050&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=43050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43050&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
[170000,180000[	175000	10	0.169492	0.169492	1.7e-05
[180000,190000[	185000	11	0.186441	0.355932	1.9e-05
[190000,2e+05[	195000	10	0.169492	0.525424	1.7e-05
[2e+05,210000[	205000	5	0.084746	0.610169	8e-06
[210000,220000[	215000	1	0.016949	0.627119	2e-06
[220000,230000[	225000	6	0.101695	0.728814	1e-05
[230000,240000[	235000	9	0.152542	0.881356	1.5e-05
[240000,250000[	245000	6	0.101695	0.983051	1e-05
[250000,260000]	255000	1	0.016949	1	2e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[170000,180000[ & 175000 & 10 & 0.169492 & 0.169492 & 1.7e-05 \tabularnewline
[180000,190000[ & 185000 & 11 & 0.186441 & 0.355932 & 1.9e-05 \tabularnewline
[190000,2e+05[ & 195000 & 10 & 0.169492 & 0.525424 & 1.7e-05 \tabularnewline
[2e+05,210000[ & 205000 & 5 & 0.084746 & 0.610169 & 8e-06 \tabularnewline
[210000,220000[ & 215000 & 1 & 0.016949 & 0.627119 & 2e-06 \tabularnewline
[220000,230000[ & 225000 & 6 & 0.101695 & 0.728814 & 1e-05 \tabularnewline
[230000,240000[ & 235000 & 9 & 0.152542 & 0.881356 & 1.5e-05 \tabularnewline
[240000,250000[ & 245000 & 6 & 0.101695 & 0.983051 & 1e-05 \tabularnewline
[250000,260000] & 255000 & 1 & 0.016949 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43050&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][170000,180000[[/C][C]175000[/C][C]10[/C][C]0.169492[/C][C]0.169492[/C][C]1.7e-05[/C][/ROW]
[ROW][C][180000,190000[[/C][C]185000[/C][C]11[/C][C]0.186441[/C][C]0.355932[/C][C]1.9e-05[/C][/ROW]
[ROW][C][190000,2e+05[[/C][C]195000[/C][C]10[/C][C]0.169492[/C][C]0.525424[/C][C]1.7e-05[/C][/ROW]
[ROW][C][2e+05,210000[[/C][C]205000[/C][C]5[/C][C]0.084746[/C][C]0.610169[/C][C]8e-06[/C][/ROW]
[ROW][C][210000,220000[[/C][C]215000[/C][C]1[/C][C]0.016949[/C][C]0.627119[/C][C]2e-06[/C][/ROW]
[ROW][C][220000,230000[[/C][C]225000[/C][C]6[/C][C]0.101695[/C][C]0.728814[/C][C]1e-05[/C][/ROW]
[ROW][C][230000,240000[[/C][C]235000[/C][C]9[/C][C]0.152542[/C][C]0.881356[/C][C]1.5e-05[/C][/ROW]
[ROW][C][240000,250000[[/C][C]245000[/C][C]6[/C][C]0.101695[/C][C]0.983051[/C][C]1e-05[/C][/ROW]
[ROW][C][250000,260000][/C][C]255000[/C][C]1[/C][C]0.016949[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43050&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
[170000,180000[	175000	10	0.169492	0.169492	1.7e-05
[180000,190000[	185000	11	0.186441	0.355932	1.9e-05
[190000,2e+05[	195000	10	0.169492	0.525424	1.7e-05
[2e+05,210000[	205000	5	0.084746	0.610169	8e-06
[210000,220000[	215000	1	0.016949	0.627119	2e-06
[220000,230000[	225000	6	0.101695	0.728814	1e-05
[230000,240000[	235000	9	0.152542	0.881356	1.5e-05
[240000,250000[	245000	6	0.101695	0.983051	1e-05
[250000,260000]	255000	1	0.016949	1	2e-06

Figure 1

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 <- 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