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

Sat, 28 Sep 2013 10:43:26 -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/Sep/28/t1380379611zic43llhe6yu02y.htm/, Retrieved Mon, 29 Apr 2024 09:14:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212316, Retrieved Mon, 29 Apr 2024 09:14:44 +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] [] [2013-09-28 14:43:26] [fc2852ac78b5a0ff21b931104fefbcf7] [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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212316&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212316&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[10.8,11[	10.9	2	0.02381	0.02381	0.119048
[11,11.2[	11.1	2	0.02381	0.047619	0.119048
[11.2,11.4[	11.3	2	0.02381	0.071429	0.119048
[11.4,11.6[	11.5	3	0.035714	0.107143	0.178571
[11.6,11.8[	11.7	2	0.02381	0.130952	0.119048
[11.8,12[	11.9	15	0.178571	0.309524	0.892857
[12,12.2[	12.1	3	0.035714	0.345238	0.178571
[12.2,12.4[	12.3	6	0.071429	0.416667	0.357143
[12.4,12.6[	12.5	13	0.154762	0.571429	0.77381
[12.6,12.8[	12.7	11	0.130952	0.702381	0.654762
[12.8,13[	12.9	9	0.107143	0.809524	0.535714
[13,13.2[	13.1	5	0.059524	0.869048	0.297619
[13.2,13.4[	13.3	7	0.083333	0.952381	0.416667
[13.4,13.6[	13.5	1	0.011905	0.964286	0.059524
[13.6,13.8]	13.7	3	0.035714	1	0.178571

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10.8,11[ & 10.9 & 2 & 0.02381 & 0.02381 & 0.119048 \tabularnewline
[11,11.2[ & 11.1 & 2 & 0.02381 & 0.047619 & 0.119048 \tabularnewline
[11.2,11.4[ & 11.3 & 2 & 0.02381 & 0.071429 & 0.119048 \tabularnewline
[11.4,11.6[ & 11.5 & 3 & 0.035714 & 0.107143 & 0.178571 \tabularnewline
[11.6,11.8[ & 11.7 & 2 & 0.02381 & 0.130952 & 0.119048 \tabularnewline
[11.8,12[ & 11.9 & 15 & 0.178571 & 0.309524 & 0.892857 \tabularnewline
[12,12.2[ & 12.1 & 3 & 0.035714 & 0.345238 & 0.178571 \tabularnewline
[12.2,12.4[ & 12.3 & 6 & 0.071429 & 0.416667 & 0.357143 \tabularnewline
[12.4,12.6[ & 12.5 & 13 & 0.154762 & 0.571429 & 0.77381 \tabularnewline
[12.6,12.8[ & 12.7 & 11 & 0.130952 & 0.702381 & 0.654762 \tabularnewline
[12.8,13[ & 12.9 & 9 & 0.107143 & 0.809524 & 0.535714 \tabularnewline
[13,13.2[ & 13.1 & 5 & 0.059524 & 0.869048 & 0.297619 \tabularnewline
[13.2,13.4[ & 13.3 & 7 & 0.083333 & 0.952381 & 0.416667 \tabularnewline
[13.4,13.6[ & 13.5 & 1 & 0.011905 & 0.964286 & 0.059524 \tabularnewline
[13.6,13.8] & 13.7 & 3 & 0.035714 & 1 & 0.178571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212316&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][10.8,11[[/C][C]10.9[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.119048[/C][/ROW]
[ROW][C][11,11.2[[/C][C]11.1[/C][C]2[/C][C]0.02381[/C][C]0.047619[/C][C]0.119048[/C][/ROW]
[ROW][C][11.2,11.4[[/C][C]11.3[/C][C]2[/C][C]0.02381[/C][C]0.071429[/C][C]0.119048[/C][/ROW]
[ROW][C][11.4,11.6[[/C][C]11.5[/C][C]3[/C][C]0.035714[/C][C]0.107143[/C][C]0.178571[/C][/ROW]
[ROW][C][11.6,11.8[[/C][C]11.7[/C][C]2[/C][C]0.02381[/C][C]0.130952[/C][C]0.119048[/C][/ROW]
[ROW][C][11.8,12[[/C][C]11.9[/C][C]15[/C][C]0.178571[/C][C]0.309524[/C][C]0.892857[/C][/ROW]
[ROW][C][12,12.2[[/C][C]12.1[/C][C]3[/C][C]0.035714[/C][C]0.345238[/C][C]0.178571[/C][/ROW]
[ROW][C][12.2,12.4[[/C][C]12.3[/C][C]6[/C][C]0.071429[/C][C]0.416667[/C][C]0.357143[/C][/ROW]
[ROW][C][12.4,12.6[[/C][C]12.5[/C][C]13[/C][C]0.154762[/C][C]0.571429[/C][C]0.77381[/C][/ROW]
[ROW][C][12.6,12.8[[/C][C]12.7[/C][C]11[/C][C]0.130952[/C][C]0.702381[/C][C]0.654762[/C][/ROW]
[ROW][C][12.8,13[[/C][C]12.9[/C][C]9[/C][C]0.107143[/C][C]0.809524[/C][C]0.535714[/C][/ROW]
[ROW][C][13,13.2[[/C][C]13.1[/C][C]5[/C][C]0.059524[/C][C]0.869048[/C][C]0.297619[/C][/ROW]
[ROW][C][13.2,13.4[[/C][C]13.3[/C][C]7[/C][C]0.083333[/C][C]0.952381[/C][C]0.416667[/C][/ROW]
[ROW][C][13.4,13.6[[/C][C]13.5[/C][C]1[/C][C]0.011905[/C][C]0.964286[/C][C]0.059524[/C][/ROW]
[ROW][C][13.6,13.8][/C][C]13.7[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.178571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212316&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
[10.8,11[	10.9	2	0.02381	0.02381	0.119048
[11,11.2[	11.1	2	0.02381	0.047619	0.119048
[11.2,11.4[	11.3	2	0.02381	0.071429	0.119048
[11.4,11.6[	11.5	3	0.035714	0.107143	0.178571
[11.6,11.8[	11.7	2	0.02381	0.130952	0.119048
[11.8,12[	11.9	15	0.178571	0.309524	0.892857
[12,12.2[	12.1	3	0.035714	0.345238	0.178571
[12.2,12.4[	12.3	6	0.071429	0.416667	0.357143
[12.4,12.6[	12.5	13	0.154762	0.571429	0.77381
[12.6,12.8[	12.7	11	0.130952	0.702381	0.654762
[12.8,13[	12.9	9	0.107143	0.809524	0.535714
[13,13.2[	13.1	5	0.059524	0.869048	0.297619
[13.2,13.4[	13.3	7	0.083333	0.952381	0.416667
[13.4,13.6[	13.5	1	0.011905	0.964286	0.059524
[13.6,13.8]	13.7	3	0.035714	1	0.178571

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):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '10'
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