Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Fri, 26 Sep 2014 16:19:11 +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/2014/Sep/26/t14117447986op0prs22aehxw9.htm/, Retrieved Mon, 13 May 2024 00:45:12 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236355, Retrieved Mon, 13 May 2024 00:45:12 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

106

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

-     [Univariate Data Series] [Gemiddelde consum...] [2014-09-21 08:55:55] [496126a0222b8a6af13ba264d5a821d5]
- RMPD    [Histogram] [] [2014-09-26 15:19:11] [bdd4dd5e616b71837cf1c04213e8fe07] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

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	'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236355&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236355&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236355&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	'George Udny Yule' @ yule.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[200.2,200.4[	200.3	3	0.041667	0.041667	0.208333
[200.4,200.6[	200.5	0	0	0.041667	0
[200.6,200.8[	200.7	1	0.013889	0.055556	0.069444
[200.8,201[	200.9	0	0	0.055556	0
[201,201.2[	201.1	0	0	0.055556	0
[201.2,201.4[	201.3	0	0	0.055556	0
[201.4,201.6[	201.5	0	0	0.055556	0
[201.6,201.8[	201.7	0	0	0.055556	0
[201.8,202[	201.9	3	0.041667	0.097222	0.208333
[202,202.2[	202.1	1	0.013889	0.111111	0.069444
[202.2,202.4[	202.3	0	0	0.111111	0
[202.4,202.6[	202.5	3	0.041667	0.152778	0.208333
[202.6,202.8[	202.7	2	0.027778	0.180556	0.138889
[202.8,203[	202.9	9	0.125	0.305556	0.625
[203,203.2[	203.1	5	0.069444	0.375	0.347222
[203.2,203.4[	203.3	4	0.055556	0.430556	0.277778
[203.4,203.6[	203.5	4	0.055556	0.486111	0.277778
[203.6,203.8[	203.7	3	0.041667	0.527778	0.208333
[203.8,204[	203.9	4	0.055556	0.583333	0.277778
[204,204.2[	204.1	6	0.083333	0.666667	0.416667
[204.2,204.4[	204.3	3	0.041667	0.708333	0.208333
[204.4,204.6[	204.5	4	0.055556	0.763889	0.277778
[204.6,204.8[	204.7	4	0.055556	0.819444	0.277778
[204.8,205[	204.9	3	0.041667	0.861111	0.208333
[205,205.2[	205.1	2	0.027778	0.888889	0.138889
[205.2,205.4[	205.3	2	0.027778	0.916667	0.138889
[205.4,205.6[	205.5	1	0.013889	0.930556	0.069444
[205.6,205.8[	205.7	1	0.013889	0.944444	0.069444
[205.8,206[	205.9	1	0.013889	0.958333	0.069444
[206,206.2[	206.1	1	0.013889	0.972222	0.069444
[206.2,206.4]	206.3	2	0.027778	1	0.138889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[200.2,200.4[ & 200.3 & 3 & 0.041667 & 0.041667 & 0.208333 \tabularnewline
[200.4,200.6[ & 200.5 & 0 & 0 & 0.041667 & 0 \tabularnewline
[200.6,200.8[ & 200.7 & 1 & 0.013889 & 0.055556 & 0.069444 \tabularnewline
[200.8,201[ & 200.9 & 0 & 0 & 0.055556 & 0 \tabularnewline
[201,201.2[ & 201.1 & 0 & 0 & 0.055556 & 0 \tabularnewline
[201.2,201.4[ & 201.3 & 0 & 0 & 0.055556 & 0 \tabularnewline
[201.4,201.6[ & 201.5 & 0 & 0 & 0.055556 & 0 \tabularnewline
[201.6,201.8[ & 201.7 & 0 & 0 & 0.055556 & 0 \tabularnewline
[201.8,202[ & 201.9 & 3 & 0.041667 & 0.097222 & 0.208333 \tabularnewline
[202,202.2[ & 202.1 & 1 & 0.013889 & 0.111111 & 0.069444 \tabularnewline
[202.2,202.4[ & 202.3 & 0 & 0 & 0.111111 & 0 \tabularnewline
[202.4,202.6[ & 202.5 & 3 & 0.041667 & 0.152778 & 0.208333 \tabularnewline
[202.6,202.8[ & 202.7 & 2 & 0.027778 & 0.180556 & 0.138889 \tabularnewline
[202.8,203[ & 202.9 & 9 & 0.125 & 0.305556 & 0.625 \tabularnewline
[203,203.2[ & 203.1 & 5 & 0.069444 & 0.375 & 0.347222 \tabularnewline
[203.2,203.4[ & 203.3 & 4 & 0.055556 & 0.430556 & 0.277778 \tabularnewline
[203.4,203.6[ & 203.5 & 4 & 0.055556 & 0.486111 & 0.277778 \tabularnewline
[203.6,203.8[ & 203.7 & 3 & 0.041667 & 0.527778 & 0.208333 \tabularnewline
[203.8,204[ & 203.9 & 4 & 0.055556 & 0.583333 & 0.277778 \tabularnewline
[204,204.2[ & 204.1 & 6 & 0.083333 & 0.666667 & 0.416667 \tabularnewline
[204.2,204.4[ & 204.3 & 3 & 0.041667 & 0.708333 & 0.208333 \tabularnewline
[204.4,204.6[ & 204.5 & 4 & 0.055556 & 0.763889 & 0.277778 \tabularnewline
[204.6,204.8[ & 204.7 & 4 & 0.055556 & 0.819444 & 0.277778 \tabularnewline
[204.8,205[ & 204.9 & 3 & 0.041667 & 0.861111 & 0.208333 \tabularnewline
[205,205.2[ & 205.1 & 2 & 0.027778 & 0.888889 & 0.138889 \tabularnewline
[205.2,205.4[ & 205.3 & 2 & 0.027778 & 0.916667 & 0.138889 \tabularnewline
[205.4,205.6[ & 205.5 & 1 & 0.013889 & 0.930556 & 0.069444 \tabularnewline
[205.6,205.8[ & 205.7 & 1 & 0.013889 & 0.944444 & 0.069444 \tabularnewline
[205.8,206[ & 205.9 & 1 & 0.013889 & 0.958333 & 0.069444 \tabularnewline
[206,206.2[ & 206.1 & 1 & 0.013889 & 0.972222 & 0.069444 \tabularnewline
[206.2,206.4] & 206.3 & 2 & 0.027778 & 1 & 0.138889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236355&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][200.2,200.4[[/C][C]200.3[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.208333[/C][/ROW]
[ROW][C][200.4,200.6[[/C][C]200.5[/C][C]0[/C][C]0[/C][C]0.041667[/C][C]0[/C][/ROW]
[ROW][C][200.6,200.8[[/C][C]200.7[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.069444[/C][/ROW]
[ROW][C][200.8,201[[/C][C]200.9[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][201,201.2[[/C][C]201.1[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][201.2,201.4[[/C][C]201.3[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][201.4,201.6[[/C][C]201.5[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][201.6,201.8[[/C][C]201.7[/C][C]0[/C][C]0[/C][C]0.055556[/C][C]0[/C][/ROW]
[ROW][C][201.8,202[[/C][C]201.9[/C][C]3[/C][C]0.041667[/C][C]0.097222[/C][C]0.208333[/C][/ROW]
[ROW][C][202,202.2[[/C][C]202.1[/C][C]1[/C][C]0.013889[/C][C]0.111111[/C][C]0.069444[/C][/ROW]
[ROW][C][202.2,202.4[[/C][C]202.3[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][202.4,202.6[[/C][C]202.5[/C][C]3[/C][C]0.041667[/C][C]0.152778[/C][C]0.208333[/C][/ROW]
[ROW][C][202.6,202.8[[/C][C]202.7[/C][C]2[/C][C]0.027778[/C][C]0.180556[/C][C]0.138889[/C][/ROW]
[ROW][C][202.8,203[[/C][C]202.9[/C][C]9[/C][C]0.125[/C][C]0.305556[/C][C]0.625[/C][/ROW]
[ROW][C][203,203.2[[/C][C]203.1[/C][C]5[/C][C]0.069444[/C][C]0.375[/C][C]0.347222[/C][/ROW]
[ROW][C][203.2,203.4[[/C][C]203.3[/C][C]4[/C][C]0.055556[/C][C]0.430556[/C][C]0.277778[/C][/ROW]
[ROW][C][203.4,203.6[[/C][C]203.5[/C][C]4[/C][C]0.055556[/C][C]0.486111[/C][C]0.277778[/C][/ROW]
[ROW][C][203.6,203.8[[/C][C]203.7[/C][C]3[/C][C]0.041667[/C][C]0.527778[/C][C]0.208333[/C][/ROW]
[ROW][C][203.8,204[[/C][C]203.9[/C][C]4[/C][C]0.055556[/C][C]0.583333[/C][C]0.277778[/C][/ROW]
[ROW][C][204,204.2[[/C][C]204.1[/C][C]6[/C][C]0.083333[/C][C]0.666667[/C][C]0.416667[/C][/ROW]
[ROW][C][204.2,204.4[[/C][C]204.3[/C][C]3[/C][C]0.041667[/C][C]0.708333[/C][C]0.208333[/C][/ROW]
[ROW][C][204.4,204.6[[/C][C]204.5[/C][C]4[/C][C]0.055556[/C][C]0.763889[/C][C]0.277778[/C][/ROW]
[ROW][C][204.6,204.8[[/C][C]204.7[/C][C]4[/C][C]0.055556[/C][C]0.819444[/C][C]0.277778[/C][/ROW]
[ROW][C][204.8,205[[/C][C]204.9[/C][C]3[/C][C]0.041667[/C][C]0.861111[/C][C]0.208333[/C][/ROW]
[ROW][C][205,205.2[[/C][C]205.1[/C][C]2[/C][C]0.027778[/C][C]0.888889[/C][C]0.138889[/C][/ROW]
[ROW][C][205.2,205.4[[/C][C]205.3[/C][C]2[/C][C]0.027778[/C][C]0.916667[/C][C]0.138889[/C][/ROW]
[ROW][C][205.4,205.6[[/C][C]205.5[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]0.069444[/C][/ROW]
[ROW][C][205.6,205.8[[/C][C]205.7[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.069444[/C][/ROW]
[ROW][C][205.8,206[[/C][C]205.9[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.069444[/C][/ROW]
[ROW][C][206,206.2[[/C][C]206.1[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]0.069444[/C][/ROW]
[ROW][C][206.2,206.4][/C][C]206.3[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.138889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236355&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236355&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
[200.2,200.4[	200.3	3	0.041667	0.041667	0.208333
[200.4,200.6[	200.5	0	0	0.041667	0
[200.6,200.8[	200.7	1	0.013889	0.055556	0.069444
[200.8,201[	200.9	0	0	0.055556	0
[201,201.2[	201.1	0	0	0.055556	0
[201.2,201.4[	201.3	0	0	0.055556	0
[201.4,201.6[	201.5	0	0	0.055556	0
[201.6,201.8[	201.7	0	0	0.055556	0
[201.8,202[	201.9	3	0.041667	0.097222	0.208333
[202,202.2[	202.1	1	0.013889	0.111111	0.069444
[202.2,202.4[	202.3	0	0	0.111111	0
[202.4,202.6[	202.5	3	0.041667	0.152778	0.208333
[202.6,202.8[	202.7	2	0.027778	0.180556	0.138889
[202.8,203[	202.9	9	0.125	0.305556	0.625
[203,203.2[	203.1	5	0.069444	0.375	0.347222
[203.2,203.4[	203.3	4	0.055556	0.430556	0.277778
[203.4,203.6[	203.5	4	0.055556	0.486111	0.277778
[203.6,203.8[	203.7	3	0.041667	0.527778	0.208333
[203.8,204[	203.9	4	0.055556	0.583333	0.277778
[204,204.2[	204.1	6	0.083333	0.666667	0.416667
[204.2,204.4[	204.3	3	0.041667	0.708333	0.208333
[204.4,204.6[	204.5	4	0.055556	0.763889	0.277778
[204.6,204.8[	204.7	4	0.055556	0.819444	0.277778
[204.8,205[	204.9	3	0.041667	0.861111	0.208333
[205,205.2[	205.1	2	0.027778	0.888889	0.138889
[205.2,205.4[	205.3	2	0.027778	0.916667	0.138889
[205.4,205.6[	205.5	1	0.013889	0.930556	0.069444
[205.6,205.8[	205.7	1	0.013889	0.944444	0.069444
[205.8,206[	205.9	1	0.013889	0.958333	0.069444
[206,206.2[	206.1	1	0.013889	0.972222	0.069444
[206.2,206.4]	206.3	2	0.027778	1	0.138889

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 24 ; 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 {
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