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

Tue, 12 Feb 2013 08:35:22 -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/2013/Feb/12/t13606761399qokbbbndqd4bv0.htm/, Retrieved Sun, 28 Apr 2024 19:42:37 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206354, Retrieved Sun, 28 Apr 2024 19:42:37 +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

134

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

-     [Histogram] [Economische situa...] [2013-02-05 15:31:24] [41b8d88384d696c671e043f0c3bb96a9]
- R P   [Histogram] [Economische situa...] [2013-02-12 13:33:56] [41b8d88384d696c671e043f0c3bb96a9]
-           [Histogram] [Economische situa...] [2013-02-12 13:35:22] [5d7546d7dacadccf70943ca90d1ce990] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

-48
-47
-37
-33
-30
-14
-16
-8
-14
-19
-10
-21
-17
-12
-19
-17
-15
-25
-36
-37
-22
-37
-38
-41
-38
-34
-42
-44
-47
-58
-61
-64
-67
-69
-72
-69
-69
-63
-66
-56
-63
-66
-55
-50
-46
-39
-38
-40
-33
-30
-14
-16
-10
-8
-4
-4
2
-6
-6
-7
-15
-7
-8
-10
-16
-10
-16
-17
-19
-21
-20
-19
-25
-28
-33
-43
-32
-38
-38
-31
-19
-12
-18
-21

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=206354&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=206354&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206354&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
[-75,-70[	-72.5	1	0.011905	0.011905	0.002381
[-70,-65[	-67.5	6	0.071429	0.083333	0.014286
[-65,-60[	-62.5	4	0.047619	0.130952	0.009524
[-60,-55[	-57.5	2	0.02381	0.154762	0.004762
[-55,-50[	-52.5	1	0.011905	0.166667	0.002381
[-50,-45[	-47.5	5	0.059524	0.22619	0.011905
[-45,-40[	-42.5	4	0.047619	0.27381	0.009524
[-40,-35[	-37.5	11	0.130952	0.404762	0.02619
[-35,-30[	-32.5	6	0.071429	0.47619	0.014286
[-30,-25[	-27.5	3	0.035714	0.511905	0.007143
[-25,-20[	-22.5	6	0.071429	0.583333	0.014286
[-20,-15[	-17.5	14	0.166667	0.75	0.033333
[-15,-10[	-12.5	7	0.083333	0.833333	0.016667
[-10,-5[	-7.5	11	0.130952	0.964286	0.02619
[-5,0[	-2.5	2	0.02381	0.988095	0.004762
[0,5]	2.5	1	0.011905	1	0.002381

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-75,-70[ & -72.5 & 1 & 0.011905 & 0.011905 & 0.002381 \tabularnewline
[-70,-65[ & -67.5 & 6 & 0.071429 & 0.083333 & 0.014286 \tabularnewline
[-65,-60[ & -62.5 & 4 & 0.047619 & 0.130952 & 0.009524 \tabularnewline
[-60,-55[ & -57.5 & 2 & 0.02381 & 0.154762 & 0.004762 \tabularnewline
[-55,-50[ & -52.5 & 1 & 0.011905 & 0.166667 & 0.002381 \tabularnewline
[-50,-45[ & -47.5 & 5 & 0.059524 & 0.22619 & 0.011905 \tabularnewline
[-45,-40[ & -42.5 & 4 & 0.047619 & 0.27381 & 0.009524 \tabularnewline
[-40,-35[ & -37.5 & 11 & 0.130952 & 0.404762 & 0.02619 \tabularnewline
[-35,-30[ & -32.5 & 6 & 0.071429 & 0.47619 & 0.014286 \tabularnewline
[-30,-25[ & -27.5 & 3 & 0.035714 & 0.511905 & 0.007143 \tabularnewline
[-25,-20[ & -22.5 & 6 & 0.071429 & 0.583333 & 0.014286 \tabularnewline
[-20,-15[ & -17.5 & 14 & 0.166667 & 0.75 & 0.033333 \tabularnewline
[-15,-10[ & -12.5 & 7 & 0.083333 & 0.833333 & 0.016667 \tabularnewline
[-10,-5[ & -7.5 & 11 & 0.130952 & 0.964286 & 0.02619 \tabularnewline
[-5,0[ & -2.5 & 2 & 0.02381 & 0.988095 & 0.004762 \tabularnewline
[0,5] & 2.5 & 1 & 0.011905 & 1 & 0.002381 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206354&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][-75,-70[[/C][C]-72.5[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.002381[/C][/ROW]
[ROW][C][-70,-65[[/C][C]-67.5[/C][C]6[/C][C]0.071429[/C][C]0.083333[/C][C]0.014286[/C][/ROW]
[ROW][C][-65,-60[[/C][C]-62.5[/C][C]4[/C][C]0.047619[/C][C]0.130952[/C][C]0.009524[/C][/ROW]
[ROW][C][-60,-55[[/C][C]-57.5[/C][C]2[/C][C]0.02381[/C][C]0.154762[/C][C]0.004762[/C][/ROW]
[ROW][C][-55,-50[[/C][C]-52.5[/C][C]1[/C][C]0.011905[/C][C]0.166667[/C][C]0.002381[/C][/ROW]
[ROW][C][-50,-45[[/C][C]-47.5[/C][C]5[/C][C]0.059524[/C][C]0.22619[/C][C]0.011905[/C][/ROW]
[ROW][C][-45,-40[[/C][C]-42.5[/C][C]4[/C][C]0.047619[/C][C]0.27381[/C][C]0.009524[/C][/ROW]
[ROW][C][-40,-35[[/C][C]-37.5[/C][C]11[/C][C]0.130952[/C][C]0.404762[/C][C]0.02619[/C][/ROW]
[ROW][C][-35,-30[[/C][C]-32.5[/C][C]6[/C][C]0.071429[/C][C]0.47619[/C][C]0.014286[/C][/ROW]
[ROW][C][-30,-25[[/C][C]-27.5[/C][C]3[/C][C]0.035714[/C][C]0.511905[/C][C]0.007143[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]6[/C][C]0.071429[/C][C]0.583333[/C][C]0.014286[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]14[/C][C]0.166667[/C][C]0.75[/C][C]0.033333[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]7[/C][C]0.083333[/C][C]0.833333[/C][C]0.016667[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]11[/C][C]0.130952[/C][C]0.964286[/C][C]0.02619[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]2[/C][C]0.02381[/C][C]0.988095[/C][C]0.004762[/C][/ROW]
[ROW][C][0,5][/C][C]2.5[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]0.002381[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206354&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206354&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
[-75,-70[	-72.5	1	0.011905	0.011905	0.002381
[-70,-65[	-67.5	6	0.071429	0.083333	0.014286
[-65,-60[	-62.5	4	0.047619	0.130952	0.009524
[-60,-55[	-57.5	2	0.02381	0.154762	0.004762
[-55,-50[	-52.5	1	0.011905	0.166667	0.002381
[-50,-45[	-47.5	5	0.059524	0.22619	0.011905
[-45,-40[	-42.5	4	0.047619	0.27381	0.009524
[-40,-35[	-37.5	11	0.130952	0.404762	0.02619
[-35,-30[	-32.5	6	0.071429	0.47619	0.014286
[-30,-25[	-27.5	3	0.035714	0.511905	0.007143
[-25,-20[	-22.5	6	0.071429	0.583333	0.014286
[-20,-15[	-17.5	14	0.166667	0.75	0.033333
[-15,-10[	-12.5	7	0.083333	0.833333	0.016667
[-10,-5[	-7.5	11	0.130952	0.964286	0.02619
[-5,0[	-2.5	2	0.02381	0.988095	0.004762
[0,5]	2.5	1	0.011905	1	0.002381

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 8 ; par2 = grey ; par3 = TRUE ; par4 = Interval/Ratio ;

Parameters (R input):

par1 = 16 ; 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