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, 12 Feb 2012 16:33:59 -0500

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/2012/Feb/12/t1329082610o1ljaaabj9pdo3t.htm/, Retrieved Sat, 04 May 2024 22:51:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162162, Retrieved Sat, 04 May 2024 22:51:09 +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

KDG2011W2EC

Estimated Impact

113

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

-     [Univariate Data Series] [Gemiddelde prijs ...] [2012-02-10 13:23:15] [b50b541aa0304b8c8933d5412f559080]
- RMP     [Histogram] [] [2012-02-12 21:33:59] [921480865c2f7a3cce0a5eeacc6bbad6] [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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162162&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162162&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162162&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	1 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[34.6,34.8[	34.7	1	0.016667	0.016667	0.083333
[34.8,35[	34.9	5	0.083333	0.1	0.416667
[35,35.2[	35.1	4	0.066667	0.166667	0.333333
[35.2,35.4[	35.3	4	0.066667	0.233333	0.333333
[35.4,35.6[	35.5	6	0.1	0.333333	0.5
[35.6,35.8[	35.7	1	0.016667	0.35	0.083333
[35.8,36[	35.9	1	0.016667	0.366667	0.083333
[36,36.2[	36.1	6	0.1	0.466667	0.5
[36.2,36.4[	36.3	0	0	0.466667	0
[36.4,36.6[	36.5	4	0.066667	0.533333	0.333333
[36.6,36.8[	36.7	6	0.1	0.633333	0.5
[36.8,37[	36.9	7	0.116667	0.75	0.583333
[37,37.2[	37.1	5	0.083333	0.833333	0.416667
[37.2,37.4[	37.3	2	0.033333	0.866667	0.166667
[37.4,37.6[	37.5	5	0.083333	0.95	0.416667
[37.6,37.8[	37.7	1	0.016667	0.966667	0.083333
[37.8,38]	37.9	2	0.033333	1	0.166667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[34.6,34.8[ & 34.7 & 1 & 0.016667 & 0.016667 & 0.083333 \tabularnewline
[34.8,35[ & 34.9 & 5 & 0.083333 & 0.1 & 0.416667 \tabularnewline
[35,35.2[ & 35.1 & 4 & 0.066667 & 0.166667 & 0.333333 \tabularnewline
[35.2,35.4[ & 35.3 & 4 & 0.066667 & 0.233333 & 0.333333 \tabularnewline
[35.4,35.6[ & 35.5 & 6 & 0.1 & 0.333333 & 0.5 \tabularnewline
[35.6,35.8[ & 35.7 & 1 & 0.016667 & 0.35 & 0.083333 \tabularnewline
[35.8,36[ & 35.9 & 1 & 0.016667 & 0.366667 & 0.083333 \tabularnewline
[36,36.2[ & 36.1 & 6 & 0.1 & 0.466667 & 0.5 \tabularnewline
[36.2,36.4[ & 36.3 & 0 & 0 & 0.466667 & 0 \tabularnewline
[36.4,36.6[ & 36.5 & 4 & 0.066667 & 0.533333 & 0.333333 \tabularnewline
[36.6,36.8[ & 36.7 & 6 & 0.1 & 0.633333 & 0.5 \tabularnewline
[36.8,37[ & 36.9 & 7 & 0.116667 & 0.75 & 0.583333 \tabularnewline
[37,37.2[ & 37.1 & 5 & 0.083333 & 0.833333 & 0.416667 \tabularnewline
[37.2,37.4[ & 37.3 & 2 & 0.033333 & 0.866667 & 0.166667 \tabularnewline
[37.4,37.6[ & 37.5 & 5 & 0.083333 & 0.95 & 0.416667 \tabularnewline
[37.6,37.8[ & 37.7 & 1 & 0.016667 & 0.966667 & 0.083333 \tabularnewline
[37.8,38] & 37.9 & 2 & 0.033333 & 1 & 0.166667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162162&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][34.6,34.8[[/C][C]34.7[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.083333[/C][/ROW]
[ROW][C][34.8,35[[/C][C]34.9[/C][C]5[/C][C]0.083333[/C][C]0.1[/C][C]0.416667[/C][/ROW]
[ROW][C][35,35.2[[/C][C]35.1[/C][C]4[/C][C]0.066667[/C][C]0.166667[/C][C]0.333333[/C][/ROW]
[ROW][C][35.2,35.4[[/C][C]35.3[/C][C]4[/C][C]0.066667[/C][C]0.233333[/C][C]0.333333[/C][/ROW]
[ROW][C][35.4,35.6[[/C][C]35.5[/C][C]6[/C][C]0.1[/C][C]0.333333[/C][C]0.5[/C][/ROW]
[ROW][C][35.6,35.8[[/C][C]35.7[/C][C]1[/C][C]0.016667[/C][C]0.35[/C][C]0.083333[/C][/ROW]
[ROW][C][35.8,36[[/C][C]35.9[/C][C]1[/C][C]0.016667[/C][C]0.366667[/C][C]0.083333[/C][/ROW]
[ROW][C][36,36.2[[/C][C]36.1[/C][C]6[/C][C]0.1[/C][C]0.466667[/C][C]0.5[/C][/ROW]
[ROW][C][36.2,36.4[[/C][C]36.3[/C][C]0[/C][C]0[/C][C]0.466667[/C][C]0[/C][/ROW]
[ROW][C][36.4,36.6[[/C][C]36.5[/C][C]4[/C][C]0.066667[/C][C]0.533333[/C][C]0.333333[/C][/ROW]
[ROW][C][36.6,36.8[[/C][C]36.7[/C][C]6[/C][C]0.1[/C][C]0.633333[/C][C]0.5[/C][/ROW]
[ROW][C][36.8,37[[/C][C]36.9[/C][C]7[/C][C]0.116667[/C][C]0.75[/C][C]0.583333[/C][/ROW]
[ROW][C][37,37.2[[/C][C]37.1[/C][C]5[/C][C]0.083333[/C][C]0.833333[/C][C]0.416667[/C][/ROW]
[ROW][C][37.2,37.4[[/C][C]37.3[/C][C]2[/C][C]0.033333[/C][C]0.866667[/C][C]0.166667[/C][/ROW]
[ROW][C][37.4,37.6[[/C][C]37.5[/C][C]5[/C][C]0.083333[/C][C]0.95[/C][C]0.416667[/C][/ROW]
[ROW][C][37.6,37.8[[/C][C]37.7[/C][C]1[/C][C]0.016667[/C][C]0.966667[/C][C]0.083333[/C][/ROW]
[ROW][C][37.8,38][/C][C]37.9[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.166667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162162&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162162&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
[34.6,34.8[	34.7	1	0.016667	0.016667	0.083333
[34.8,35[	34.9	5	0.083333	0.1	0.416667
[35,35.2[	35.1	4	0.066667	0.166667	0.333333
[35.2,35.4[	35.3	4	0.066667	0.233333	0.333333
[35.4,35.6[	35.5	6	0.1	0.333333	0.5
[35.6,35.8[	35.7	1	0.016667	0.35	0.083333
[35.8,36[	35.9	1	0.016667	0.366667	0.083333
[36,36.2[	36.1	6	0.1	0.466667	0.5
[36.2,36.4[	36.3	0	0	0.466667	0
[36.4,36.6[	36.5	4	0.066667	0.533333	0.333333
[36.6,36.8[	36.7	6	0.1	0.633333	0.5
[36.8,37[	36.9	7	0.116667	0.75	0.583333
[37,37.2[	37.1	5	0.083333	0.833333	0.416667
[37.2,37.4[	37.3	2	0.033333	0.866667	0.166667
[37.4,37.6[	37.5	5	0.083333	0.95	0.416667
[37.6,37.8[	37.7	1	0.016667	0.966667	0.083333
[37.8,38]	37.9	2	0.033333	1	0.166667

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