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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sat, 28 Sep 2013 14:58:05 -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/t13803946963luzoqptl3xba68.htm/, Retrieved Mon, 29 Apr 2024 10:14:07 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212374, Retrieved Mon, 29 Apr 2024 10:14:07 +0000

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Original text written by user:

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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 18:58:05] [790f0636b450c832b3696ec959e2e52b] [Current]

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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=212374&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=212374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212374&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
[20.8,21[	20.9	1	0.011905	0.011905	0.059524
[21,21.2[	21.1	6	0.071429	0.083333	0.357143
[21.2,21.4[	21.3	6	0.071429	0.154762	0.357143
[21.4,21.6[	21.5	2	0.02381	0.178571	0.119048
[21.6,21.8[	21.7	7	0.083333	0.261905	0.416667
[21.8,22[	21.9	6	0.071429	0.333333	0.357143
[22,22.2[	22.1	25	0.297619	0.630952	1.488095
[22.2,22.4[	22.3	24	0.285714	0.916667	1.428571
[22.4,22.6]	22.5	7	0.083333	1	0.416667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[20.8,21[ & 20.9 & 1 & 0.011905 & 0.011905 & 0.059524 \tabularnewline
[21,21.2[ & 21.1 & 6 & 0.071429 & 0.083333 & 0.357143 \tabularnewline
[21.2,21.4[ & 21.3 & 6 & 0.071429 & 0.154762 & 0.357143 \tabularnewline
[21.4,21.6[ & 21.5 & 2 & 0.02381 & 0.178571 & 0.119048 \tabularnewline
[21.6,21.8[ & 21.7 & 7 & 0.083333 & 0.261905 & 0.416667 \tabularnewline
[21.8,22[ & 21.9 & 6 & 0.071429 & 0.333333 & 0.357143 \tabularnewline
[22,22.2[ & 22.1 & 25 & 0.297619 & 0.630952 & 1.488095 \tabularnewline
[22.2,22.4[ & 22.3 & 24 & 0.285714 & 0.916667 & 1.428571 \tabularnewline
[22.4,22.6] & 22.5 & 7 & 0.083333 & 1 & 0.416667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212374&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][20.8,21[[/C][C]20.9[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.059524[/C][/ROW]
[ROW][C][21,21.2[[/C][C]21.1[/C][C]6[/C][C]0.071429[/C][C]0.083333[/C][C]0.357143[/C][/ROW]
[ROW][C][21.2,21.4[[/C][C]21.3[/C][C]6[/C][C]0.071429[/C][C]0.154762[/C][C]0.357143[/C][/ROW]
[ROW][C][21.4,21.6[[/C][C]21.5[/C][C]2[/C][C]0.02381[/C][C]0.178571[/C][C]0.119048[/C][/ROW]
[ROW][C][21.6,21.8[[/C][C]21.7[/C][C]7[/C][C]0.083333[/C][C]0.261905[/C][C]0.416667[/C][/ROW]
[ROW][C][21.8,22[[/C][C]21.9[/C][C]6[/C][C]0.071429[/C][C]0.333333[/C][C]0.357143[/C][/ROW]
[ROW][C][22,22.2[[/C][C]22.1[/C][C]25[/C][C]0.297619[/C][C]0.630952[/C][C]1.488095[/C][/ROW]
[ROW][C][22.2,22.4[[/C][C]22.3[/C][C]24[/C][C]0.285714[/C][C]0.916667[/C][C]1.428571[/C][/ROW]
[ROW][C][22.4,22.6][/C][C]22.5[/C][C]7[/C][C]0.083333[/C][C]1[/C][C]0.416667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212374&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
[20.8,21[	20.9	1	0.011905	0.011905	0.059524
[21,21.2[	21.1	6	0.071429	0.083333	0.357143
[21.2,21.4[	21.3	6	0.071429	0.154762	0.357143
[21.4,21.6[	21.5	2	0.02381	0.178571	0.119048
[21.6,21.8[	21.7	7	0.083333	0.261905	0.416667
[21.8,22[	21.9	6	0.071429	0.333333	0.357143
[22,22.2[	22.1	25	0.297619	0.630952	1.488095
[22.2,22.4[	22.3	24	0.285714	0.916667	1.428571
[22.4,22.6]	22.5	7	0.083333	1	0.416667

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):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '20'
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