Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Mon, 21 Oct 2013 11:57:26 -0400

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/2013/Oct/21/t1382371331ew31959x4l6aq7l.htm/, Retrieved Sun, 28 Apr 2024 20:50:50 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=217583, Retrieved Sun, 28 Apr 2024 20:50:50 +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

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

-       [Histogram] [] [2013-10-21 15:57:26] [00fa7281f92d923399435cbd3b96dfd1] [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	2 seconds
R Server	'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217583&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217583&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217583&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[11,12[	11.5	1	0.006173	0.006173	0.006173
[12,13[	12.5	1	0.006173	0.012346	0.006173
[13,14[	13.5	1	0.006173	0.018519	0.006173
[14,15[	14.5	0	0	0.018519	0
[15,16[	15.5	1	0.006173	0.024691	0.006173
[16,17[	16.5	0	0	0.024691	0
[17,18[	17.5	2	0.012346	0.037037	0.012346
[18,19[	18.5	5	0.030864	0.067901	0.030864
[19,20[	19.5	5	0.030864	0.098765	0.030864
[20,21[	20.5	17	0.104938	0.203704	0.104938
[21,22[	21.5	14	0.08642	0.290123	0.08642
[22,23[	22.5	16	0.098765	0.388889	0.098765
[23,24[	23.5	25	0.154321	0.54321	0.154321
[24,25[	24.5	19	0.117284	0.660494	0.117284
[25,26[	25.5	22	0.135802	0.796296	0.135802
[26,27[	26.5	10	0.061728	0.858025	0.061728
[27,28]	27.5	23	0.141975	1	0.141975

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[11,12[ & 11.5 & 1 & 0.006173 & 0.006173 & 0.006173 \tabularnewline
[12,13[ & 12.5 & 1 & 0.006173 & 0.012346 & 0.006173 \tabularnewline
[13,14[ & 13.5 & 1 & 0.006173 & 0.018519 & 0.006173 \tabularnewline
[14,15[ & 14.5 & 0 & 0 & 0.018519 & 0 \tabularnewline
[15,16[ & 15.5 & 1 & 0.006173 & 0.024691 & 0.006173 \tabularnewline
[16,17[ & 16.5 & 0 & 0 & 0.024691 & 0 \tabularnewline
[17,18[ & 17.5 & 2 & 0.012346 & 0.037037 & 0.012346 \tabularnewline
[18,19[ & 18.5 & 5 & 0.030864 & 0.067901 & 0.030864 \tabularnewline
[19,20[ & 19.5 & 5 & 0.030864 & 0.098765 & 0.030864 \tabularnewline
[20,21[ & 20.5 & 17 & 0.104938 & 0.203704 & 0.104938 \tabularnewline
[21,22[ & 21.5 & 14 & 0.08642 & 0.290123 & 0.08642 \tabularnewline
[22,23[ & 22.5 & 16 & 0.098765 & 0.388889 & 0.098765 \tabularnewline
[23,24[ & 23.5 & 25 & 0.154321 & 0.54321 & 0.154321 \tabularnewline
[24,25[ & 24.5 & 19 & 0.117284 & 0.660494 & 0.117284 \tabularnewline
[25,26[ & 25.5 & 22 & 0.135802 & 0.796296 & 0.135802 \tabularnewline
[26,27[ & 26.5 & 10 & 0.061728 & 0.858025 & 0.061728 \tabularnewline
[27,28] & 27.5 & 23 & 0.141975 & 1 & 0.141975 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=217583&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][11,12[[/C][C]11.5[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.006173[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.006173[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]1[/C][C]0.006173[/C][C]0.018519[/C][C]0.006173[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]0[/C][C]0[/C][C]0.018519[/C][C]0[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]1[/C][C]0.006173[/C][C]0.024691[/C][C]0.006173[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]0[/C][C]0[/C][C]0.024691[/C][C]0[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]2[/C][C]0.012346[/C][C]0.037037[/C][C]0.012346[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]5[/C][C]0.030864[/C][C]0.067901[/C][C]0.030864[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]5[/C][C]0.030864[/C][C]0.098765[/C][C]0.030864[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]17[/C][C]0.104938[/C][C]0.203704[/C][C]0.104938[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]14[/C][C]0.08642[/C][C]0.290123[/C][C]0.08642[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]16[/C][C]0.098765[/C][C]0.388889[/C][C]0.098765[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]25[/C][C]0.154321[/C][C]0.54321[/C][C]0.154321[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]19[/C][C]0.117284[/C][C]0.660494[/C][C]0.117284[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]22[/C][C]0.135802[/C][C]0.796296[/C][C]0.135802[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]10[/C][C]0.061728[/C][C]0.858025[/C][C]0.061728[/C][/ROW]
[ROW][C][27,28][/C][C]27.5[/C][C]23[/C][C]0.141975[/C][C]1[/C][C]0.141975[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=217583&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=217583&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
[11,12[	11.5	1	0.006173	0.006173	0.006173
[12,13[	12.5	1	0.006173	0.012346	0.006173
[13,14[	13.5	1	0.006173	0.018519	0.006173
[14,15[	14.5	0	0	0.018519	0
[15,16[	15.5	1	0.006173	0.024691	0.006173
[16,17[	16.5	0	0	0.024691	0
[17,18[	17.5	2	0.012346	0.037037	0.012346
[18,19[	18.5	5	0.030864	0.067901	0.030864
[19,20[	19.5	5	0.030864	0.098765	0.030864
[20,21[	20.5	17	0.104938	0.203704	0.104938
[21,22[	21.5	14	0.08642	0.290123	0.08642
[22,23[	22.5	16	0.098765	0.388889	0.098765
[23,24[	23.5	25	0.154321	0.54321	0.154321
[24,25[	24.5	19	0.117284	0.660494	0.117284
[25,26[	25.5	22	0.135802	0.796296	0.135802
[26,27[	26.5	10	0.061728	0.858025	0.061728
[27,28]	27.5	23	0.141975	1	0.141975

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 15 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 15 ; 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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code