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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

Sat, 17 Dec 2011 09:35:22 -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/2011/Dec/17/t1324132677vvslnux0istrd5j.htm/, Retrieved Sat, 20 Apr 2024 01:19:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156345, Retrieved Sat, 20 Apr 2024 01:19:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

108

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

-     [Univariate Data Series] [Grafiek geg ws9] [2011-12-01 12:52:40] [22f8bc702946f784836540059d0d9516]
- R  D  [Univariate Data Series] [WS 9.1] [2011-12-02 10:37:00] [74be16979710d4c4e7c6647856088456]
-         [Univariate Data Series] [Paper Mathias Van...] [2011-12-17 13:22:22] [380049693c521f4999989215fb37aeca]
-   PD      [Univariate Data Series] [Paper Mathias Van...] [2011-12-17 14:22:48] [380049693c521f4999989215fb37aeca]
- RMP           [Histogram] [Paper Mathias Van...] [2011-12-17 14:35:22] [1b6261517283a6546869240081f8d68e] [Current]
- R  D            [Histogram] [Paper Mathias Van...] [2011-12-19 12:12:21] [380049693c521f4999989215fb37aeca] 
-   P               [Histogram] [Paper Mathias Van...] [2011-12-19 18:48:56] [380049693c521f4999989215fb37aeca] 
- RMP               [Notched Boxplots] [Paper Mathias Van...] [2011-12-19 19:00:04] [380049693c521f4999989215fb37aeca] 
- RMPD            [Percentiles] [Paper Mathias Van...] [2011-12-19 12:23:29] [380049693c521f4999989215fb37aeca] 
- RMPD            [Central Tendency] [Paper Mathias Van...] [2011-12-19 12:37:21] [380049693c521f4999989215fb37aeca] 
- RMPD            [Mean Plot] [Paper Mathias Van...] [2011-12-19 12:50:51] [380049693c521f4999989215fb37aeca] 

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Dataseries X:

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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	0 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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=156345&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]
[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=156345&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156345&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
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
[9,9.5]	9.25	127	0.512097	0.512097	1.024194
]9.5,10]	9.75	50	0.201613	0.71371	0.403226
]10,10.5]	10.25	42	0.169355	0.883065	0.33871
]10.5,11]	10.75	18	0.072581	0.955645	0.145161
]11,11.5]	11.25	2	0.008065	0.96371	0.016129
]11.5,12]	11.75	0	0	0.96371	0
]12,12.5]	12.25	2	0.008065	0.971774	0.016129
]12.5,13]	12.75	4	0.016129	0.987903	0.032258
]13,13.5]	13.25	1	0.004032	0.991935	0.008065
]13.5,14]	13.75	2	0.008065	1	0.016129

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[9,9.5] & 9.25 & 127 & 0.512097 & 0.512097 & 1.024194 \tabularnewline
]9.5,10] & 9.75 & 50 & 0.201613 & 0.71371 & 0.403226 \tabularnewline
]10,10.5] & 10.25 & 42 & 0.169355 & 0.883065 & 0.33871 \tabularnewline
]10.5,11] & 10.75 & 18 & 0.072581 & 0.955645 & 0.145161 \tabularnewline
]11,11.5] & 11.25 & 2 & 0.008065 & 0.96371 & 0.016129 \tabularnewline
]11.5,12] & 11.75 & 0 & 0 & 0.96371 & 0 \tabularnewline
]12,12.5] & 12.25 & 2 & 0.008065 & 0.971774 & 0.016129 \tabularnewline
]12.5,13] & 12.75 & 4 & 0.016129 & 0.987903 & 0.032258 \tabularnewline
]13,13.5] & 13.25 & 1 & 0.004032 & 0.991935 & 0.008065 \tabularnewline
]13.5,14] & 13.75 & 2 & 0.008065 & 1 & 0.016129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156345&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][9,9.5][/C][C]9.25[/C][C]127[/C][C]0.512097[/C][C]0.512097[/C][C]1.024194[/C][/ROW]
[ROW][C]]9.5,10][/C][C]9.75[/C][C]50[/C][C]0.201613[/C][C]0.71371[/C][C]0.403226[/C][/ROW]
[ROW][C]]10,10.5][/C][C]10.25[/C][C]42[/C][C]0.169355[/C][C]0.883065[/C][C]0.33871[/C][/ROW]
[ROW][C]]10.5,11][/C][C]10.75[/C][C]18[/C][C]0.072581[/C][C]0.955645[/C][C]0.145161[/C][/ROW]
[ROW][C]]11,11.5][/C][C]11.25[/C][C]2[/C][C]0.008065[/C][C]0.96371[/C][C]0.016129[/C][/ROW]
[ROW][C]]11.5,12][/C][C]11.75[/C][C]0[/C][C]0[/C][C]0.96371[/C][C]0[/C][/ROW]
[ROW][C]]12,12.5][/C][C]12.25[/C][C]2[/C][C]0.008065[/C][C]0.971774[/C][C]0.016129[/C][/ROW]
[ROW][C]]12.5,13][/C][C]12.75[/C][C]4[/C][C]0.016129[/C][C]0.987903[/C][C]0.032258[/C][/ROW]
[ROW][C]]13,13.5][/C][C]13.25[/C][C]1[/C][C]0.004032[/C][C]0.991935[/C][C]0.008065[/C][/ROW]
[ROW][C]]13.5,14][/C][C]13.75[/C][C]2[/C][C]0.008065[/C][C]1[/C][C]0.016129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156345&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156345&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
[9,9.5]	9.25	127	0.512097	0.512097	1.024194
]9.5,10]	9.75	50	0.201613	0.71371	0.403226
]10,10.5]	10.25	42	0.169355	0.883065	0.33871
]10.5,11]	10.75	18	0.072581	0.955645	0.145161
]11,11.5]	11.25	2	0.008065	0.96371	0.016129
]11.5,12]	11.75	0	0	0.96371	0
]12,12.5]	12.25	2	0.008065	0.971774	0.016129
]12.5,13]	12.75	4	0.016129	0.987903	0.032258
]13,13.5]	13.25	1	0.004032	0.991935	0.008065
]13.5,14]	13.75	2	0.008065	1	0.016129

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

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

Parameters (R input):

par1 = ; par2 = grey ; par3 = TRUE ; 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