Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 07 Feb 2010 13:43:42 -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/2010/Feb/07/t1265575855iwj750nlp4jucmh.htm/, Retrieved Thu, 25 Apr 2024 10:48:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72862, Retrieved Thu, 25 Apr 2024 10:48:33 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

211

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

-       [Histogram] [Datareeks-aantal ...] [2010-02-07 20:43:42] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72862&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]0 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=72862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72862&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	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,10000[	5000	55	0.763889	0.763889	7.6e-05
[10000,20000[	15000	2	0.027778	0.791667	3e-06
[20000,30000[	25000	2	0.027778	0.819444	3e-06
[30000,40000[	35000	2	0.027778	0.847222	3e-06
[40000,50000[	45000	3	0.041667	0.888889	4e-06
[50000,60000[	55000	0	0	0.888889	0
[60000,70000[	65000	3	0.041667	0.930556	4e-06
[70000,80000[	75000	4	0.055556	0.986111	6e-06
[80000,90000]	85000	1	0.013889	1	1e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10000[ & 5000 & 55 & 0.763889 & 0.763889 & 7.6e-05 \tabularnewline
[10000,20000[ & 15000 & 2 & 0.027778 & 0.791667 & 3e-06 \tabularnewline
[20000,30000[ & 25000 & 2 & 0.027778 & 0.819444 & 3e-06 \tabularnewline
[30000,40000[ & 35000 & 2 & 0.027778 & 0.847222 & 3e-06 \tabularnewline
[40000,50000[ & 45000 & 3 & 0.041667 & 0.888889 & 4e-06 \tabularnewline
[50000,60000[ & 55000 & 0 & 0 & 0.888889 & 0 \tabularnewline
[60000,70000[ & 65000 & 3 & 0.041667 & 0.930556 & 4e-06 \tabularnewline
[70000,80000[ & 75000 & 4 & 0.055556 & 0.986111 & 6e-06 \tabularnewline
[80000,90000] & 85000 & 1 & 0.013889 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72862&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][0,10000[[/C][C]5000[/C][C]55[/C][C]0.763889[/C][C]0.763889[/C][C]7.6e-05[/C][/ROW]
[ROW][C][10000,20000[[/C][C]15000[/C][C]2[/C][C]0.027778[/C][C]0.791667[/C][C]3e-06[/C][/ROW]
[ROW][C][20000,30000[[/C][C]25000[/C][C]2[/C][C]0.027778[/C][C]0.819444[/C][C]3e-06[/C][/ROW]
[ROW][C][30000,40000[[/C][C]35000[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]3e-06[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]3[/C][C]0.041667[/C][C]0.888889[/C][C]4e-06[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]0[/C][C]0[/C][C]0.888889[/C][C]0[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]3[/C][C]0.041667[/C][C]0.930556[/C][C]4e-06[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]4[/C][C]0.055556[/C][C]0.986111[/C][C]6e-06[/C][/ROW]
[ROW][C][80000,90000][/C][C]85000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72862&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
[0,10000[	5000	55	0.763889	0.763889	7.6e-05
[10000,20000[	15000	2	0.027778	0.791667	3e-06
[20000,30000[	25000	2	0.027778	0.819444	3e-06
[30000,40000[	35000	2	0.027778	0.847222	3e-06
[40000,50000[	45000	3	0.041667	0.888889	4e-06
[50000,60000[	55000	0	0	0.888889	0
[60000,70000[	65000	3	0.041667	0.930556	4e-06
[70000,80000[	75000	4	0.055556	0.986111	6e-06
[80000,90000]	85000	1	0.013889	1	1e-06

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