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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Sun, 14 Aug 2016 22:51:46 +0100

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/2016/Aug/14/t14712115593nlb3sqd0ciodzb.htm/, Retrieved Fri, 03 May 2024 13:51:03 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 03 May 2024 13:51:03 +0200

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Estimated Impact

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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
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[2000,4000[	3000	2	0.016667	0.016667	8e-06
[4000,6000[	5000	16	0.133333	0.15	6.7e-05
[6000,8000[	7000	18	0.15	0.3	7.5e-05
[8000,10000[	9000	3	0.025	0.325	1.2e-05
[10000,12000[	11000	9	0.075	0.4	3.8e-05
[12000,14000[	13000	2	0.016667	0.416667	8e-06
[14000,16000[	15000	8	0.066667	0.483333	3.3e-05
[16000,18000[	17000	10	0.083333	0.566667	4.2e-05
[18000,20000[	19000	17	0.141667	0.708333	7.1e-05
[20000,22000[	21000	32	0.266667	0.975	0.000133
[22000,24000]	23000	3	0.025	1	1.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2000,4000[ & 3000 & 2 & 0.016667 & 0.016667 & 8e-06 \tabularnewline
[4000,6000[ & 5000 & 16 & 0.133333 & 0.15 & 6.7e-05 \tabularnewline
[6000,8000[ & 7000 & 18 & 0.15 & 0.3 & 7.5e-05 \tabularnewline
[8000,10000[ & 9000 & 3 & 0.025 & 0.325 & 1.2e-05 \tabularnewline
[10000,12000[ & 11000 & 9 & 0.075 & 0.4 & 3.8e-05 \tabularnewline
[12000,14000[ & 13000 & 2 & 0.016667 & 0.416667 & 8e-06 \tabularnewline
[14000,16000[ & 15000 & 8 & 0.066667 & 0.483333 & 3.3e-05 \tabularnewline
[16000,18000[ & 17000 & 10 & 0.083333 & 0.566667 & 4.2e-05 \tabularnewline
[18000,20000[ & 19000 & 17 & 0.141667 & 0.708333 & 7.1e-05 \tabularnewline
[20000,22000[ & 21000 & 32 & 0.266667 & 0.975 & 0.000133 \tabularnewline
[22000,24000] & 23000 & 3 & 0.025 & 1 & 1.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][2000,4000[[/C][C]3000[/C][C]2[/C][C]0.016667[/C][C]0.016667[/C][C]8e-06[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]16[/C][C]0.133333[/C][C]0.15[/C][C]6.7e-05[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]18[/C][C]0.15[/C][C]0.3[/C][C]7.5e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]3[/C][C]0.025[/C][C]0.325[/C][C]1.2e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]9[/C][C]0.075[/C][C]0.4[/C][C]3.8e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]2[/C][C]0.016667[/C][C]0.416667[/C][C]8e-06[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]8[/C][C]0.066667[/C][C]0.483333[/C][C]3.3e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]10[/C][C]0.083333[/C][C]0.566667[/C][C]4.2e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]17[/C][C]0.141667[/C][C]0.708333[/C][C]7.1e-05[/C][/ROW]
[ROW][C][20000,22000[[/C][C]21000[/C][C]32[/C][C]0.266667[/C][C]0.975[/C][C]0.000133[/C][/ROW]
[ROW][C][22000,24000][/C][C]23000[/C][C]3[/C][C]0.025[/C][C]1[/C][C]1.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[2000,4000[	3000	2	0.016667	0.016667	8e-06
[4000,6000[	5000	16	0.133333	0.15	6.7e-05
[6000,8000[	7000	18	0.15	0.3	7.5e-05
[8000,10000[	9000	3	0.025	0.325	1.2e-05
[10000,12000[	11000	9	0.075	0.4	3.8e-05
[12000,14000[	13000	2	0.016667	0.416667	8e-06
[14000,16000[	15000	8	0.066667	0.483333	3.3e-05
[16000,18000[	17000	10	0.083333	0.566667	4.2e-05
[18000,20000[	19000	17	0.141667	0.708333	7.1e-05
[20000,22000[	21000	32	0.266667	0.975	0.000133
[22000,24000]	23000	3	0.025	1	1.2e-05

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = blue ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'blue'
par1 <- ''
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 {
barplot(mytab <- sort(table(x),T),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