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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 17 May 2012 22:55:07 -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/2012/May/17/t133730985830bjpll03o6ag58.htm/, Retrieved Mon, 29 Apr 2024 18:11:39 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166643, Retrieved Mon, 29 Apr 2024 18:11:39 +0000

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Original text written by user:

IsPrivate?

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] [] [2012-05-18 02:55:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

8.2
10.5
10.6
12.2
7.8
8
9
8.6
7
7.1
9.4
9.8
16.1
8.4
12.3
3.5
12.4
10.4
9.4
10.4
8.7
7.4
14.6
8.5
9.4
14.2
8.3
9.6
6.4
6.1
5.4
9.4
13.8
7.8
8.9
8
9
8.6
7
7.1
9.4
9.8
16.1
8.4
12.3
3.5
12.4
10.4
9.4
10.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166643&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166643&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166643&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	0 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[2,4]	3	2	0.04	0.04	0.02
]4,6]	5	1	0.02	0.06	0.01
]6,8]	7	11	0.22	0.28	0.11
]8,10]	9	20	0.4	0.68	0.2
]10,12]	11	6	0.12	0.8	0.06
]12,14]	13	6	0.12	0.92	0.06
]14,16]	15	2	0.04	0.96	0.02
]16,18]	17	2	0.04	1	0.02

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2,4] & 3 & 2 & 0.04 & 0.04 & 0.02 \tabularnewline
]4,6] & 5 & 1 & 0.02 & 0.06 & 0.01 \tabularnewline
]6,8] & 7 & 11 & 0.22 & 0.28 & 0.11 \tabularnewline
]8,10] & 9 & 20 & 0.4 & 0.68 & 0.2 \tabularnewline
]10,12] & 11 & 6 & 0.12 & 0.8 & 0.06 \tabularnewline
]12,14] & 13 & 6 & 0.12 & 0.92 & 0.06 \tabularnewline
]14,16] & 15 & 2 & 0.04 & 0.96 & 0.02 \tabularnewline
]16,18] & 17 & 2 & 0.04 & 1 & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166643&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][2,4][/C][C]3[/C][C]2[/C][C]0.04[/C][C]0.04[/C][C]0.02[/C][/ROW]
[ROW][C]]4,6][/C][C]5[/C][C]1[/C][C]0.02[/C][C]0.06[/C][C]0.01[/C][/ROW]
[ROW][C]]6,8][/C][C]7[/C][C]11[/C][C]0.22[/C][C]0.28[/C][C]0.11[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]20[/C][C]0.4[/C][C]0.68[/C][C]0.2[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]6[/C][C]0.12[/C][C]0.8[/C][C]0.06[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]6[/C][C]0.12[/C][C]0.92[/C][C]0.06[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]2[/C][C]0.04[/C][C]0.96[/C][C]0.02[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]2[/C][C]0.04[/C][C]1[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166643&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166643&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
[2,4]	3	2	0.04	0.04	0.02
]4,6]	5	1	0.02	0.06	0.01
]6,8]	7	11	0.22	0.28	0.11
]8,10]	9	20	0.4	0.68	0.2
]10,12]	11	6	0.12	0.8	0.06
]12,14]	13	6	0.12	0.92	0.06
]14,16]	15	2	0.04	0.96	0.02
]16,18]	17	2	0.04	1	0.02

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 7 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;

Parameters (R input):

par1 = 7 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;

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

par4 <- 'Unknown'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- '6'
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