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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

Mon, 10 Aug 2015 13:21:52 +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/2015/Aug/10/t1439209330usqw0x8ikrisn5f.htm/, Retrieved Sun, 19 May 2024 11:39:16 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279986, Retrieved Sun, 19 May 2024 11:39:16 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

209

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

-       [Histogram] [] [2015-08-10 12:21:52] [63a9f0ea7bb98050796b649e85481845] [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=279986&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=279986&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279986&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
[140,145[	142.5	3	0.003	0.003	6e-04
[145,150[	147.5	12	0.012	0.015	0.0024
[150,155[	152.5	38	0.038	0.053	0.0076
[155,160[	157.5	87	0.087	0.14	0.0174
[160,165[	162.5	147	0.147	0.287	0.0294
[165,170[	167.5	188	0.188	0.475	0.0376
[170,175[	172.5	178	0.178	0.653	0.0356
[175,180[	177.5	180	0.18	0.833	0.036
[180,185[	182.5	98	0.098	0.931	0.0196
[185,190[	187.5	46	0.046	0.977	0.0092
[190,195[	192.5	16	0.016	0.993	0.0032
[195,200[	197.5	6	0.006	0.999	0.0012
[200,205]	202.5	1	0.001	1	2e-04

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[140,145[ & 142.5 & 3 & 0.003 & 0.003 & 6e-04 \tabularnewline
[145,150[ & 147.5 & 12 & 0.012 & 0.015 & 0.0024 \tabularnewline
[150,155[ & 152.5 & 38 & 0.038 & 0.053 & 0.0076 \tabularnewline
[155,160[ & 157.5 & 87 & 0.087 & 0.14 & 0.0174 \tabularnewline
[160,165[ & 162.5 & 147 & 0.147 & 0.287 & 0.0294 \tabularnewline
[165,170[ & 167.5 & 188 & 0.188 & 0.475 & 0.0376 \tabularnewline
[170,175[ & 172.5 & 178 & 0.178 & 0.653 & 0.0356 \tabularnewline
[175,180[ & 177.5 & 180 & 0.18 & 0.833 & 0.036 \tabularnewline
[180,185[ & 182.5 & 98 & 0.098 & 0.931 & 0.0196 \tabularnewline
[185,190[ & 187.5 & 46 & 0.046 & 0.977 & 0.0092 \tabularnewline
[190,195[ & 192.5 & 16 & 0.016 & 0.993 & 0.0032 \tabularnewline
[195,200[ & 197.5 & 6 & 0.006 & 0.999 & 0.0012 \tabularnewline
[200,205] & 202.5 & 1 & 0.001 & 1 & 2e-04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279986&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][140,145[[/C][C]142.5[/C][C]3[/C][C]0.003[/C][C]0.003[/C][C]6e-04[/C][/ROW]
[ROW][C][145,150[[/C][C]147.5[/C][C]12[/C][C]0.012[/C][C]0.015[/C][C]0.0024[/C][/ROW]
[ROW][C][150,155[[/C][C]152.5[/C][C]38[/C][C]0.038[/C][C]0.053[/C][C]0.0076[/C][/ROW]
[ROW][C][155,160[[/C][C]157.5[/C][C]87[/C][C]0.087[/C][C]0.14[/C][C]0.0174[/C][/ROW]
[ROW][C][160,165[[/C][C]162.5[/C][C]147[/C][C]0.147[/C][C]0.287[/C][C]0.0294[/C][/ROW]
[ROW][C][165,170[[/C][C]167.5[/C][C]188[/C][C]0.188[/C][C]0.475[/C][C]0.0376[/C][/ROW]
[ROW][C][170,175[[/C][C]172.5[/C][C]178[/C][C]0.178[/C][C]0.653[/C][C]0.0356[/C][/ROW]
[ROW][C][175,180[[/C][C]177.5[/C][C]180[/C][C]0.18[/C][C]0.833[/C][C]0.036[/C][/ROW]
[ROW][C][180,185[[/C][C]182.5[/C][C]98[/C][C]0.098[/C][C]0.931[/C][C]0.0196[/C][/ROW]
[ROW][C][185,190[[/C][C]187.5[/C][C]46[/C][C]0.046[/C][C]0.977[/C][C]0.0092[/C][/ROW]
[ROW][C][190,195[[/C][C]192.5[/C][C]16[/C][C]0.016[/C][C]0.993[/C][C]0.0032[/C][/ROW]
[ROW][C][195,200[[/C][C]197.5[/C][C]6[/C][C]0.006[/C][C]0.999[/C][C]0.0012[/C][/ROW]
[ROW][C][200,205][/C][C]202.5[/C][C]1[/C][C]0.001[/C][C]1[/C][C]2e-04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279986&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279986&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
[140,145[	142.5	3	0.003	0.003	6e-04
[145,150[	147.5	12	0.012	0.015	0.0024
[150,155[	152.5	38	0.038	0.053	0.0076
[155,160[	157.5	87	0.087	0.14	0.0174
[160,165[	162.5	147	0.147	0.287	0.0294
[165,170[	167.5	188	0.188	0.475	0.0376
[170,175[	172.5	178	0.178	0.653	0.0356
[175,180[	177.5	180	0.18	0.833	0.036
[180,185[	182.5	98	0.098	0.931	0.0196
[185,190[	187.5	46	0.046	0.977	0.0092
[190,195[	192.5	16	0.016	0.993	0.0032
[195,200[	197.5	6	0.006	0.999	0.0012
[200,205]	202.5	1	0.001	1	2e-04

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

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