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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Tue, 23 Feb 2016 18:24:06 +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/2016/Feb/23/t1456251889lpa660n61hqv94c.htm/, Retrieved Mon, 06 May 2024 08:06:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292546, Retrieved Mon, 06 May 2024 08:06:51 +0000

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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)

-     [Univariate Data Series] [Verhuur en handel...] [2016-02-09 19:37:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [Verhuur en handel...] [2016-02-23 18:24:06] [38f93cf143127a30e50d4675c70fea9c] [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	'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292546&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292546&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	'Gertrude Mary Cox' @ cox.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[16.5,17[	16.75	1	0.0125	0.0125	0.025
[17,17.5[	17.25	2	0.025	0.0375	0.05
[17.5,18[	17.75	10	0.125	0.1625	0.25
[18,18.5[	18.25	2	0.025	0.1875	0.05
[18.5,19[	18.75	1	0.0125	0.2	0.025
[19,19.5[	19.25	1	0.0125	0.2125	0.025
[19.5,20[	19.75	13	0.1625	0.375	0.325
[20,20.5[	20.25	9	0.1125	0.4875	0.225
[20.5,21[	20.75	3	0.0375	0.525	0.075
[21,21.5[	21.25	6	0.075	0.6	0.15
[21.5,22[	21.75	5	0.0625	0.6625	0.125
[22,22.5[	22.25	3	0.0375	0.7	0.075
[22.5,23[	22.75	0	0	0.7	0
[23,23.5[	23.25	0	0	0.7	0
[23.5,24[	23.75	4	0.05	0.75	0.1
[24,24.5[	24.25	6	0.075	0.825	0.15
[24.5,25[	24.75	10	0.125	0.95	0.25
[25,25.5]	25.25	4	0.05	1	0.1

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[16.5,17[ & 16.75 & 1 & 0.0125 & 0.0125 & 0.025 \tabularnewline
[17,17.5[ & 17.25 & 2 & 0.025 & 0.0375 & 0.05 \tabularnewline
[17.5,18[ & 17.75 & 10 & 0.125 & 0.1625 & 0.25 \tabularnewline
[18,18.5[ & 18.25 & 2 & 0.025 & 0.1875 & 0.05 \tabularnewline
[18.5,19[ & 18.75 & 1 & 0.0125 & 0.2 & 0.025 \tabularnewline
[19,19.5[ & 19.25 & 1 & 0.0125 & 0.2125 & 0.025 \tabularnewline
[19.5,20[ & 19.75 & 13 & 0.1625 & 0.375 & 0.325 \tabularnewline
[20,20.5[ & 20.25 & 9 & 0.1125 & 0.4875 & 0.225 \tabularnewline
[20.5,21[ & 20.75 & 3 & 0.0375 & 0.525 & 0.075 \tabularnewline
[21,21.5[ & 21.25 & 6 & 0.075 & 0.6 & 0.15 \tabularnewline
[21.5,22[ & 21.75 & 5 & 0.0625 & 0.6625 & 0.125 \tabularnewline
[22,22.5[ & 22.25 & 3 & 0.0375 & 0.7 & 0.075 \tabularnewline
[22.5,23[ & 22.75 & 0 & 0 & 0.7 & 0 \tabularnewline
[23,23.5[ & 23.25 & 0 & 0 & 0.7 & 0 \tabularnewline
[23.5,24[ & 23.75 & 4 & 0.05 & 0.75 & 0.1 \tabularnewline
[24,24.5[ & 24.25 & 6 & 0.075 & 0.825 & 0.15 \tabularnewline
[24.5,25[ & 24.75 & 10 & 0.125 & 0.95 & 0.25 \tabularnewline
[25,25.5] & 25.25 & 4 & 0.05 & 1 & 0.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292546&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][16.5,17[[/C][C]16.75[/C][C]1[/C][C]0.0125[/C][C]0.0125[/C][C]0.025[/C][/ROW]
[ROW][C][17,17.5[[/C][C]17.25[/C][C]2[/C][C]0.025[/C][C]0.0375[/C][C]0.05[/C][/ROW]
[ROW][C][17.5,18[[/C][C]17.75[/C][C]10[/C][C]0.125[/C][C]0.1625[/C][C]0.25[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]2[/C][C]0.025[/C][C]0.1875[/C][C]0.05[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]1[/C][C]0.0125[/C][C]0.2[/C][C]0.025[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]1[/C][C]0.0125[/C][C]0.2125[/C][C]0.025[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]13[/C][C]0.1625[/C][C]0.375[/C][C]0.325[/C][/ROW]
[ROW][C][20,20.5[[/C][C]20.25[/C][C]9[/C][C]0.1125[/C][C]0.4875[/C][C]0.225[/C][/ROW]
[ROW][C][20.5,21[[/C][C]20.75[/C][C]3[/C][C]0.0375[/C][C]0.525[/C][C]0.075[/C][/ROW]
[ROW][C][21,21.5[[/C][C]21.25[/C][C]6[/C][C]0.075[/C][C]0.6[/C][C]0.15[/C][/ROW]
[ROW][C][21.5,22[[/C][C]21.75[/C][C]5[/C][C]0.0625[/C][C]0.6625[/C][C]0.125[/C][/ROW]
[ROW][C][22,22.5[[/C][C]22.25[/C][C]3[/C][C]0.0375[/C][C]0.7[/C][C]0.075[/C][/ROW]
[ROW][C][22.5,23[[/C][C]22.75[/C][C]0[/C][C]0[/C][C]0.7[/C][C]0[/C][/ROW]
[ROW][C][23,23.5[[/C][C]23.25[/C][C]0[/C][C]0[/C][C]0.7[/C][C]0[/C][/ROW]
[ROW][C][23.5,24[[/C][C]23.75[/C][C]4[/C][C]0.05[/C][C]0.75[/C][C]0.1[/C][/ROW]
[ROW][C][24,24.5[[/C][C]24.25[/C][C]6[/C][C]0.075[/C][C]0.825[/C][C]0.15[/C][/ROW]
[ROW][C][24.5,25[[/C][C]24.75[/C][C]10[/C][C]0.125[/C][C]0.95[/C][C]0.25[/C][/ROW]
[ROW][C][25,25.5][/C][C]25.25[/C][C]4[/C][C]0.05[/C][C]1[/C][C]0.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292546&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
[16.5,17[	16.75	1	0.0125	0.0125	0.025
[17,17.5[	17.25	2	0.025	0.0375	0.05
[17.5,18[	17.75	10	0.125	0.1625	0.25
[18,18.5[	18.25	2	0.025	0.1875	0.05
[18.5,19[	18.75	1	0.0125	0.2	0.025
[19,19.5[	19.25	1	0.0125	0.2125	0.025
[19.5,20[	19.75	13	0.1625	0.375	0.325
[20,20.5[	20.25	9	0.1125	0.4875	0.225
[20.5,21[	20.75	3	0.0375	0.525	0.075
[21,21.5[	21.25	6	0.075	0.6	0.15
[21.5,22[	21.75	5	0.0625	0.6625	0.125
[22,22.5[	22.25	3	0.0375	0.7	0.075
[22.5,23[	22.75	0	0	0.7	0
[23,23.5[	23.25	0	0	0.7	0
[23.5,24[	23.75	4	0.05	0.75	0.1
[24,24.5[	24.25	6	0.075	0.825	0.15
[24.5,25[	24.75	10	0.125	0.95	0.25
[25,25.5]	25.25	4	0.05	1	0.1

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 14 ; 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 {
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