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

Wed, 22 Dec 2010 15:49:21 +0000

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/Dec/22/t1293032860z517grvb0l0x6ap.htm/, Retrieved Mon, 06 May 2024 00:04:30 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114328, Retrieved Mon, 06 May 2024 00:04:30 +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

151

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

-       [Histogram] [Histogram: more bins] [2010-12-22 15:49:21] [039869833c16fe697975601e6b065e0f] [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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114328&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114328&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114328&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[700,800[	750	1	0.016949	0.016949	0.000169
[800,900[	850	10	0.169492	0.186441	0.001695
[900,1000[	950	12	0.20339	0.389831	0.002034
[1000,1100[	1050	11	0.186441	0.576271	0.001864
[1100,1200[	1150	5	0.084746	0.661017	0.000847
[1200,1300[	1250	4	0.067797	0.728814	0.000678
[1300,1400[	1350	5	0.084746	0.813559	0.000847
[1400,1500[	1450	1	0.016949	0.830508	0.000169
[1500,1600[	1550	2	0.033898	0.864407	0.000339
[1600,1700[	1650	0	0	0.864407	0
[1700,1800[	1750	1	0.016949	0.881356	0.000169
[1800,1900[	1850	2	0.033898	0.915254	0.000339
[1900,2000[	1950	2	0.033898	0.949153	0.000339
[2000,2100]	2050	3	0.050847	1	0.000508

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[700,800[ & 750 & 1 & 0.016949 & 0.016949 & 0.000169 \tabularnewline
[800,900[ & 850 & 10 & 0.169492 & 0.186441 & 0.001695 \tabularnewline
[900,1000[ & 950 & 12 & 0.20339 & 0.389831 & 0.002034 \tabularnewline
[1000,1100[ & 1050 & 11 & 0.186441 & 0.576271 & 0.001864 \tabularnewline
[1100,1200[ & 1150 & 5 & 0.084746 & 0.661017 & 0.000847 \tabularnewline
[1200,1300[ & 1250 & 4 & 0.067797 & 0.728814 & 0.000678 \tabularnewline
[1300,1400[ & 1350 & 5 & 0.084746 & 0.813559 & 0.000847 \tabularnewline
[1400,1500[ & 1450 & 1 & 0.016949 & 0.830508 & 0.000169 \tabularnewline
[1500,1600[ & 1550 & 2 & 0.033898 & 0.864407 & 0.000339 \tabularnewline
[1600,1700[ & 1650 & 0 & 0 & 0.864407 & 0 \tabularnewline
[1700,1800[ & 1750 & 1 & 0.016949 & 0.881356 & 0.000169 \tabularnewline
[1800,1900[ & 1850 & 2 & 0.033898 & 0.915254 & 0.000339 \tabularnewline
[1900,2000[ & 1950 & 2 & 0.033898 & 0.949153 & 0.000339 \tabularnewline
[2000,2100] & 2050 & 3 & 0.050847 & 1 & 0.000508 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114328&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][700,800[[/C][C]750[/C][C]1[/C][C]0.016949[/C][C]0.016949[/C][C]0.000169[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]10[/C][C]0.169492[/C][C]0.186441[/C][C]0.001695[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]12[/C][C]0.20339[/C][C]0.389831[/C][C]0.002034[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]11[/C][C]0.186441[/C][C]0.576271[/C][C]0.001864[/C][/ROW]
[ROW][C][1100,1200[[/C][C]1150[/C][C]5[/C][C]0.084746[/C][C]0.661017[/C][C]0.000847[/C][/ROW]
[ROW][C][1200,1300[[/C][C]1250[/C][C]4[/C][C]0.067797[/C][C]0.728814[/C][C]0.000678[/C][/ROW]
[ROW][C][1300,1400[[/C][C]1350[/C][C]5[/C][C]0.084746[/C][C]0.813559[/C][C]0.000847[/C][/ROW]
[ROW][C][1400,1500[[/C][C]1450[/C][C]1[/C][C]0.016949[/C][C]0.830508[/C][C]0.000169[/C][/ROW]
[ROW][C][1500,1600[[/C][C]1550[/C][C]2[/C][C]0.033898[/C][C]0.864407[/C][C]0.000339[/C][/ROW]
[ROW][C][1600,1700[[/C][C]1650[/C][C]0[/C][C]0[/C][C]0.864407[/C][C]0[/C][/ROW]
[ROW][C][1700,1800[[/C][C]1750[/C][C]1[/C][C]0.016949[/C][C]0.881356[/C][C]0.000169[/C][/ROW]
[ROW][C][1800,1900[[/C][C]1850[/C][C]2[/C][C]0.033898[/C][C]0.915254[/C][C]0.000339[/C][/ROW]
[ROW][C][1900,2000[[/C][C]1950[/C][C]2[/C][C]0.033898[/C][C]0.949153[/C][C]0.000339[/C][/ROW]
[ROW][C][2000,2100][/C][C]2050[/C][C]3[/C][C]0.050847[/C][C]1[/C][C]0.000508[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114328&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114328&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
[700,800[	750	1	0.016949	0.016949	0.000169
[800,900[	850	10	0.169492	0.186441	0.001695
[900,1000[	950	12	0.20339	0.389831	0.002034
[1000,1100[	1050	11	0.186441	0.576271	0.001864
[1100,1200[	1150	5	0.084746	0.661017	0.000847
[1200,1300[	1250	4	0.067797	0.728814	0.000678
[1300,1400[	1350	5	0.084746	0.813559	0.000847
[1400,1500[	1450	1	0.016949	0.830508	0.000169
[1500,1600[	1550	2	0.033898	0.864407	0.000339
[1600,1700[	1650	0	0	0.864407	0
[1700,1800[	1750	1	0.016949	0.881356	0.000169
[1800,1900[	1850	2	0.033898	0.915254	0.000339
[1900,2000[	1950	2	0.033898	0.949153	0.000339
[2000,2100]	2050	3	0.050847	1	0.000508

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.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