FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 05 Oct 2010 14:19:02 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/05/t1286288528zepmkisy6udbavq.htm/, Retrieved Sat, 27 Apr 2024 16:07:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81459, Retrieved Sat, 27 Apr 2024 16:07:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact93

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2010-10-05 14:19:02] [30681199eb2b91d06bf445c1ee7d20a2] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81459&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81459&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,10[7.510.0112360.0112360.002247
[10,15[12.540.0449440.056180.008989
[15,20[17.570.0786520.1348310.01573
[20,25[22.5340.3820220.5168540.076404
[25,30[27.5300.3370790.8539330.067416
[30,35[32.590.1011240.9550560.020225
[35,40[37.520.0224720.9775280.004494
[40,45[42.510.0112360.9887640.002247
[45,50]47.510.01123610.002247

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,10[ & 7.5 & 1 & 0.011236 & 0.011236 & 0.002247 \tabularnewline
[10,15[ & 12.5 & 4 & 0.044944 & 0.05618 & 0.008989 \tabularnewline
[15,20[ & 17.5 & 7 & 0.078652 & 0.134831 & 0.01573 \tabularnewline
[20,25[ & 22.5 & 34 & 0.382022 & 0.516854 & 0.076404 \tabularnewline
[25,30[ & 27.5 & 30 & 0.337079 & 0.853933 & 0.067416 \tabularnewline
[30,35[ & 32.5 & 9 & 0.101124 & 0.955056 & 0.020225 \tabularnewline
[35,40[ & 37.5 & 2 & 0.022472 & 0.977528 & 0.004494 \tabularnewline
[40,45[ & 42.5 & 1 & 0.011236 & 0.988764 & 0.002247 \tabularnewline
[45,50] & 47.5 & 1 & 0.011236 & 1 & 0.002247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81459&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][5,10[[/C][C]7.5[/C][C]1[/C][C]0.011236[/C][C]0.011236[/C][C]0.002247[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]4[/C][C]0.044944[/C][C]0.05618[/C][C]0.008989[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]7[/C][C]0.078652[/C][C]0.134831[/C][C]0.01573[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]34[/C][C]0.382022[/C][C]0.516854[/C][C]0.076404[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]30[/C][C]0.337079[/C][C]0.853933[/C][C]0.067416[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]9[/C][C]0.101124[/C][C]0.955056[/C][C]0.020225[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]2[/C][C]0.022472[/C][C]0.977528[/C][C]0.004494[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]1[/C][C]0.011236[/C][C]0.988764[/C][C]0.002247[/C][/ROW]
[ROW][C][45,50][/C][C]47.5[/C][C]1[/C][C]0.011236[/C][C]1[/C][C]0.002247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81459&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,10[7.510.0112360.0112360.002247
[10,15[12.540.0449440.056180.008989
[15,20[17.570.0786520.1348310.01573
[20,25[22.5340.3820220.5168540.076404
[25,30[27.5300.3370790.8539330.067416
[30,35[32.590.1011240.9550560.020225
[35,40[37.520.0224720.9775280.004494
[40,45[42.510.0112360.9887640.002247
[45,50]47.510.01123610.002247


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; 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')
}