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

Wed, 10 Feb 2010 04:44:31 -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/10/t12658024961upck6f8l1iwqis.htm/, Retrieved Fri, 19 Apr 2024 06:18:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72942, Retrieved Fri, 19 Apr 2024 06:18:58 +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

KDGP1W1

Estimated Impact

139

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

-       [Histogram] [Accidental Deaths] [2010-02-10 11:44:31] [a99e434d1cfd87bdfab8a9b2b38ccb03] [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=72942&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=72942&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72942&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
[6500,7000[	6750	3	0.041667	0.041667	8.3e-05
[7000,7500[	7250	2	0.027778	0.069444	5.6e-05
[7500,8000[	7750	10	0.138889	0.208333	0.000278
[8000,8500[	8250	15	0.208333	0.416667	0.000417
[8500,9000[	8750	13	0.180556	0.597222	0.000361
[9000,9500[	9250	13	0.180556	0.777778	0.000361
[9500,10000[	9750	7	0.097222	0.875	0.000194
[10000,10500[	10250	5	0.069444	0.944444	0.000139
[10500,11000[	10750	3	0.041667	0.986111	8.3e-05
[11000,11500]	11250	1	0.013889	1	2.8e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6500,7000[ & 6750 & 3 & 0.041667 & 0.041667 & 8.3e-05 \tabularnewline
[7000,7500[ & 7250 & 2 & 0.027778 & 0.069444 & 5.6e-05 \tabularnewline
[7500,8000[ & 7750 & 10 & 0.138889 & 0.208333 & 0.000278 \tabularnewline
[8000,8500[ & 8250 & 15 & 0.208333 & 0.416667 & 0.000417 \tabularnewline
[8500,9000[ & 8750 & 13 & 0.180556 & 0.597222 & 0.000361 \tabularnewline
[9000,9500[ & 9250 & 13 & 0.180556 & 0.777778 & 0.000361 \tabularnewline
[9500,10000[ & 9750 & 7 & 0.097222 & 0.875 & 0.000194 \tabularnewline
[10000,10500[ & 10250 & 5 & 0.069444 & 0.944444 & 0.000139 \tabularnewline
[10500,11000[ & 10750 & 3 & 0.041667 & 0.986111 & 8.3e-05 \tabularnewline
[11000,11500] & 11250 & 1 & 0.013889 & 1 & 2.8e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72942&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][6500,7000[[/C][C]6750[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]8.3e-05[/C][/ROW]
[ROW][C][7000,7500[[/C][C]7250[/C][C]2[/C][C]0.027778[/C][C]0.069444[/C][C]5.6e-05[/C][/ROW]
[ROW][C][7500,8000[[/C][C]7750[/C][C]10[/C][C]0.138889[/C][C]0.208333[/C][C]0.000278[/C][/ROW]
[ROW][C][8000,8500[[/C][C]8250[/C][C]15[/C][C]0.208333[/C][C]0.416667[/C][C]0.000417[/C][/ROW]
[ROW][C][8500,9000[[/C][C]8750[/C][C]13[/C][C]0.180556[/C][C]0.597222[/C][C]0.000361[/C][/ROW]
[ROW][C][9000,9500[[/C][C]9250[/C][C]13[/C][C]0.180556[/C][C]0.777778[/C][C]0.000361[/C][/ROW]
[ROW][C][9500,10000[[/C][C]9750[/C][C]7[/C][C]0.097222[/C][C]0.875[/C][C]0.000194[/C][/ROW]
[ROW][C][10000,10500[[/C][C]10250[/C][C]5[/C][C]0.069444[/C][C]0.944444[/C][C]0.000139[/C][/ROW]
[ROW][C][10500,11000[[/C][C]10750[/C][C]3[/C][C]0.041667[/C][C]0.986111[/C][C]8.3e-05[/C][/ROW]
[ROW][C][11000,11500][/C][C]11250[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]2.8e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72942&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72942&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
[6500,7000[	6750	3	0.041667	0.041667	8.3e-05
[7000,7500[	7250	2	0.027778	0.069444	5.6e-05
[7500,8000[	7750	10	0.138889	0.208333	0.000278
[8000,8500[	8250	15	0.208333	0.416667	0.000417
[8500,9000[	8750	13	0.180556	0.597222	0.000361
[9000,9500[	9250	13	0.180556	0.777778	0.000361
[9500,10000[	9750	7	0.097222	0.875	0.000194
[10000,10500[	10250	5	0.069444	0.944444	0.000139
[10500,11000[	10750	3	0.041667	0.986111	8.3e-05
[11000,11500]	11250	1	0.013889	1	2.8e-05

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