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

Thu, 05 Feb 2015 13:47:46 +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/2015/Feb/05/t1423144094syw74bwuerlpi24.htm/, Retrieved Sat, 18 May 2024 00:38:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276750, Retrieved Sat, 18 May 2024 00:38:56 +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

101

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

-       [Histogram] [] [2015-02-05 13:47:46] [8a8c4bd73c288c653fbb494901d06130] [Current]

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

2
2.2
1.9
2.3
2.2
2.3
2.1
2.4
2.3
1.9
1.6
1.8
1.8
2
2.3
2.2
2.2
2
2
1.9
1.5
1.6
1.5
2
1.5
1.5
1.9
1.1
1.5
2.1
2.3
2.6
2.9
3.2
3.2
3.1
3
3.3
2.7
3.6
3.1
2.7
2.6
2.2
2.7
2.1
1.8
1.7
1.7
1.2
1.2
1.2
1.5
1.3
1.1
1.2
1.3
1.6
1.9
1.6
2.1
2.2
2.3
2.1
1.7
1.7
2.2
2
1.5
1.5
1.7
2.2
2.6
2.6
2.3
2.3
2.7
2.7
2.5
2.5
2.7
2.6
2.6
2.4
1.4
1.8
2.1
1.7
1.6
1.7
1.8
2
1.9
2
2.1
2.3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276750&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276750&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276750&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	0 seconds
R Server	'Herman Ole Andreas Wold' @ wold.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1,1.2[	1.1	2	0.020833	0.020833	0.104167
[1.2,1.4[	1.3	6	0.0625	0.083333	0.3125
[1.4,1.6[	1.5	9	0.09375	0.177083	0.46875
[1.6,1.8[	1.7	12	0.125	0.302083	0.625
[1.8,2[	1.9	11	0.114583	0.416667	0.572917
[2,2.2[	2.1	15	0.15625	0.572917	0.78125
[2.2,2.4[	2.3	17	0.177083	0.75	0.885417
[2.4,2.6[	2.5	4	0.041667	0.791667	0.208333
[2.6,2.8[	2.7	12	0.125	0.916667	0.625
[2.8,3[	2.9	1	0.010417	0.927083	0.052083
[3,3.2[	3.1	3	0.03125	0.958333	0.15625
[3.2,3.4[	3.3	3	0.03125	0.989583	0.15625
[3.4,3.6]	3.5	1	0.010417	1	0.052083

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1,1.2[ & 1.1 & 2 & 0.020833 & 0.020833 & 0.104167 \tabularnewline
[1.2,1.4[ & 1.3 & 6 & 0.0625 & 0.083333 & 0.3125 \tabularnewline
[1.4,1.6[ & 1.5 & 9 & 0.09375 & 0.177083 & 0.46875 \tabularnewline
[1.6,1.8[ & 1.7 & 12 & 0.125 & 0.302083 & 0.625 \tabularnewline
[1.8,2[ & 1.9 & 11 & 0.114583 & 0.416667 & 0.572917 \tabularnewline
[2,2.2[ & 2.1 & 15 & 0.15625 & 0.572917 & 0.78125 \tabularnewline
[2.2,2.4[ & 2.3 & 17 & 0.177083 & 0.75 & 0.885417 \tabularnewline
[2.4,2.6[ & 2.5 & 4 & 0.041667 & 0.791667 & 0.208333 \tabularnewline
[2.6,2.8[ & 2.7 & 12 & 0.125 & 0.916667 & 0.625 \tabularnewline
[2.8,3[ & 2.9 & 1 & 0.010417 & 0.927083 & 0.052083 \tabularnewline
[3,3.2[ & 3.1 & 3 & 0.03125 & 0.958333 & 0.15625 \tabularnewline
[3.2,3.4[ & 3.3 & 3 & 0.03125 & 0.989583 & 0.15625 \tabularnewline
[3.4,3.6] & 3.5 & 1 & 0.010417 & 1 & 0.052083 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276750&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][1,1.2[[/C][C]1.1[/C][C]2[/C][C]0.020833[/C][C]0.020833[/C][C]0.104167[/C][/ROW]
[ROW][C][1.2,1.4[[/C][C]1.3[/C][C]6[/C][C]0.0625[/C][C]0.083333[/C][C]0.3125[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]9[/C][C]0.09375[/C][C]0.177083[/C][C]0.46875[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]12[/C][C]0.125[/C][C]0.302083[/C][C]0.625[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]11[/C][C]0.114583[/C][C]0.416667[/C][C]0.572917[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]15[/C][C]0.15625[/C][C]0.572917[/C][C]0.78125[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]17[/C][C]0.177083[/C][C]0.75[/C][C]0.885417[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]4[/C][C]0.041667[/C][C]0.791667[/C][C]0.208333[/C][/ROW]
[ROW][C][2.6,2.8[[/C][C]2.7[/C][C]12[/C][C]0.125[/C][C]0.916667[/C][C]0.625[/C][/ROW]
[ROW][C][2.8,3[[/C][C]2.9[/C][C]1[/C][C]0.010417[/C][C]0.927083[/C][C]0.052083[/C][/ROW]
[ROW][C][3,3.2[[/C][C]3.1[/C][C]3[/C][C]0.03125[/C][C]0.958333[/C][C]0.15625[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]3[/C][C]0.03125[/C][C]0.989583[/C][C]0.15625[/C][/ROW]
[ROW][C][3.4,3.6][/C][C]3.5[/C][C]1[/C][C]0.010417[/C][C]1[/C][C]0.052083[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276750&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276750&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
[1,1.2[	1.1	2	0.020833	0.020833	0.104167
[1.2,1.4[	1.3	6	0.0625	0.083333	0.3125
[1.4,1.6[	1.5	9	0.09375	0.177083	0.46875
[1.6,1.8[	1.7	12	0.125	0.302083	0.625
[1.8,2[	1.9	11	0.114583	0.416667	0.572917
[2,2.2[	2.1	15	0.15625	0.572917	0.78125
[2.2,2.4[	2.3	17	0.177083	0.75	0.885417
[2.4,2.6[	2.5	4	0.041667	0.791667	0.208333
[2.6,2.8[	2.7	12	0.125	0.916667	0.625
[2.8,3[	2.9	1	0.010417	0.927083	0.052083
[3,3.2[	3.1	3	0.03125	0.958333	0.15625
[3.2,3.4[	3.3	3	0.03125	0.989583	0.15625
[3.4,3.6]	3.5	1	0.010417	1	0.052083

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '3'
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