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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

Tue, 09 Dec 2014 11:54:26 +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/2014/Dec/09/t1418126089e161nezcxefqfd4.htm/, Retrieved Thu, 16 May 2024 08:49:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264495, Retrieved Thu, 16 May 2024 08:49:03 +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] [Numeracy Total Sc...] [2014-12-09 11:54:26] [80e094d39007183c022472d38ca26b6f] [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	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264495&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264495&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	'Gwilym Jenkins' @ jenkins.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[0,10[	5	4	0.009877	0.009877	0.000988
[10,20[	15	3	0.007407	0.017284	0.000741
[20,30[	25	2	0.004938	0.022222	0.000494
[30,40[	35	10	0.024691	0.046914	0.002469
[40,50[	45	31	0.076543	0.123457	0.007654
[50,60[	55	108	0.266667	0.390123	0.026667
[60,70[	65	103	0.254321	0.644444	0.025432
[70,80[	75	93	0.22963	0.874074	0.022963
[80,90[	85	44	0.108642	0.982716	0.010864
[90,100]	95	7	0.017284	1	0.001728

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10[ & 5 & 4 & 0.009877 & 0.009877 & 0.000988 \tabularnewline
[10,20[ & 15 & 3 & 0.007407 & 0.017284 & 0.000741 \tabularnewline
[20,30[ & 25 & 2 & 0.004938 & 0.022222 & 0.000494 \tabularnewline
[30,40[ & 35 & 10 & 0.024691 & 0.046914 & 0.002469 \tabularnewline
[40,50[ & 45 & 31 & 0.076543 & 0.123457 & 0.007654 \tabularnewline
[50,60[ & 55 & 108 & 0.266667 & 0.390123 & 0.026667 \tabularnewline
[60,70[ & 65 & 103 & 0.254321 & 0.644444 & 0.025432 \tabularnewline
[70,80[ & 75 & 93 & 0.22963 & 0.874074 & 0.022963 \tabularnewline
[80,90[ & 85 & 44 & 0.108642 & 0.982716 & 0.010864 \tabularnewline
[90,100] & 95 & 7 & 0.017284 & 1 & 0.001728 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264495&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][0,10[[/C][C]5[/C][C]4[/C][C]0.009877[/C][C]0.009877[/C][C]0.000988[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]3[/C][C]0.007407[/C][C]0.017284[/C][C]0.000741[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]2[/C][C]0.004938[/C][C]0.022222[/C][C]0.000494[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]10[/C][C]0.024691[/C][C]0.046914[/C][C]0.002469[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]31[/C][C]0.076543[/C][C]0.123457[/C][C]0.007654[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]108[/C][C]0.266667[/C][C]0.390123[/C][C]0.026667[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]103[/C][C]0.254321[/C][C]0.644444[/C][C]0.025432[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]93[/C][C]0.22963[/C][C]0.874074[/C][C]0.022963[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]44[/C][C]0.108642[/C][C]0.982716[/C][C]0.010864[/C][/ROW]
[ROW][C][90,100][/C][C]95[/C][C]7[/C][C]0.017284[/C][C]1[/C][C]0.001728[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264495&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
[0,10[	5	4	0.009877	0.009877	0.000988
[10,20[	15	3	0.007407	0.017284	0.000741
[20,30[	25	2	0.004938	0.022222	0.000494
[30,40[	35	10	0.024691	0.046914	0.002469
[40,50[	45	31	0.076543	0.123457	0.007654
[50,60[	55	108	0.266667	0.390123	0.026667
[60,70[	65	103	0.254321	0.644444	0.025432
[70,80[	75	93	0.22963	0.874074	0.022963
[80,90[	85	44	0.108642	0.982716	0.010864
[90,100]	95	7	0.017284	1	0.001728

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')
}

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code