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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

Thu, 08 Dec 2016 11:11:46 +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/2016/Dec/08/t1481191959s73p83515bg162s.htm/, Retrieved Fri, 01 Nov 2024 03:48:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298330, Retrieved Fri, 01 Nov 2024 03:48:29 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

126

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

-       [Histogram] [Frequencytable TV...] [2016-12-08 10:11:46] [ee2f08b6fcfe19fae25bd9410e008f6d] [Current]

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Dataseries X:

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Histogram

Boxplots

13
16
17
NA
NA
16
NA
NA
NA
17
17
15
16
14
16
17
NA
NA
NA
NA
16
NA
16
NA
NA
NA
16
15
16
16
13
15
17
NA
13
17
NA
14
14
18
NA
17
13
16
15
15
NA
15
13
NA
17
NA
NA
11
14
13
NA
17
16
NA
17
16
16
16
15
12
17
14
14
16
NA
NA
NA
NA
NA
15
16
14
15
17
NA
10
NA
17
NA
20
17
18
NA
17
14
NA
17
NA
17
NA
16
18
18
16
NA
NA
15
13
NA
NA
NA
NA
NA
16
NA
NA
NA
12
NA
16
16
NA
16
14
15
14
NA
15
NA
15
16
NA
NA
NA
11
NA
18
NA
11
NA
18
NA
15
19
17
NA
14
NA
13
17
14
19
14
NA
NA
16
16
15
12
NA
17
NA
NA
18
15
18
15
NA
NA
NA
16
NA
16

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	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298330&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298330&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298330&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	Big Analytics Cloud Computing Center

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[10,11[	10.5	1	0.005917	0.005917	0.009709
[11,12[	11.5	3	0.017751	0.023669	0.029126
[12,13[	12.5	3	0.017751	0.04142	0.029126
[13,14[	13.5	8	0.047337	0.088757	0.07767
[14,15[	14.5	13	0.076923	0.16568	0.126214
[15,16[	15.5	17	0.100592	0.266272	0.165049
[16,17[	16.5	27	0.159763	0.426036	0.262136
[17,18[	17.5	20	0.118343	0.544379	0.194175
[18,19[	18.5	8	0.047337	0.591716	0.07767
[19,20]	19.5	3	0.017751	0.609467	0.029126

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,11[ & 10.5 & 1 & 0.005917 & 0.005917 & 0.009709 \tabularnewline
[11,12[ & 11.5 & 3 & 0.017751 & 0.023669 & 0.029126 \tabularnewline
[12,13[ & 12.5 & 3 & 0.017751 & 0.04142 & 0.029126 \tabularnewline
[13,14[ & 13.5 & 8 & 0.047337 & 0.088757 & 0.07767 \tabularnewline
[14,15[ & 14.5 & 13 & 0.076923 & 0.16568 & 0.126214 \tabularnewline
[15,16[ & 15.5 & 17 & 0.100592 & 0.266272 & 0.165049 \tabularnewline
[16,17[ & 16.5 & 27 & 0.159763 & 0.426036 & 0.262136 \tabularnewline
[17,18[ & 17.5 & 20 & 0.118343 & 0.544379 & 0.194175 \tabularnewline
[18,19[ & 18.5 & 8 & 0.047337 & 0.591716 & 0.07767 \tabularnewline
[19,20] & 19.5 & 3 & 0.017751 & 0.609467 & 0.029126 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298330&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][10,11[[/C][C]10.5[/C][C]1[/C][C]0.005917[/C][C]0.005917[/C][C]0.009709[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]3[/C][C]0.017751[/C][C]0.023669[/C][C]0.029126[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]3[/C][C]0.017751[/C][C]0.04142[/C][C]0.029126[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]8[/C][C]0.047337[/C][C]0.088757[/C][C]0.07767[/C][/ROW]
[ROW][C][14,15[[/C][C]14.5[/C][C]13[/C][C]0.076923[/C][C]0.16568[/C][C]0.126214[/C][/ROW]
[ROW][C][15,16[[/C][C]15.5[/C][C]17[/C][C]0.100592[/C][C]0.266272[/C][C]0.165049[/C][/ROW]
[ROW][C][16,17[[/C][C]16.5[/C][C]27[/C][C]0.159763[/C][C]0.426036[/C][C]0.262136[/C][/ROW]
[ROW][C][17,18[[/C][C]17.5[/C][C]20[/C][C]0.118343[/C][C]0.544379[/C][C]0.194175[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]8[/C][C]0.047337[/C][C]0.591716[/C][C]0.07767[/C][/ROW]
[ROW][C][19,20][/C][C]19.5[/C][C]3[/C][C]0.017751[/C][C]0.609467[/C][C]0.029126[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298330&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298330&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
[10,11[	10.5	1	0.005917	0.005917	0.009709
[11,12[	11.5	3	0.017751	0.023669	0.029126
[12,13[	12.5	3	0.017751	0.04142	0.029126
[13,14[	13.5	8	0.047337	0.088757	0.07767
[14,15[	14.5	13	0.076923	0.16568	0.126214
[15,16[	15.5	17	0.100592	0.266272	0.165049
[16,17[	16.5	27	0.159763	0.426036	0.262136
[17,18[	17.5	20	0.118343	0.544379	0.194175
[18,19[	18.5	8	0.047337	0.591716	0.07767
[19,20]	19.5	3	0.017751	0.609467	0.029126

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 9 ; par2 = grey ; par3 = FALSE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = 9 ; 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 {
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,'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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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code