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, 12 Feb 2013 10:27:57 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/12/t1360682939k6vsp6eykjpdq0r.htm/, Retrieved Sun, 28 Apr 2024 19:00:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206379, Retrieved Sun, 28 Apr 2024 19:00:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Voorzuitzichten w...] [2013-02-05 11:47:04] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [opdracht 2] [2013-02-12 15:27:57] [0756924702977927793c865c7c536cb0] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59
57
62
50
40
46
39
35
31
35
33
47
34
31
36
24
22
17
8
12
5
6
5
8
15
16
17
23
24
27
31
40
47
43
60
64
65
65
55
57
57
57
65
69
70
71
71
73
68
65
57
41
21
21
17
9
11
6
-2
0
5
3
7
4
8
9
14
12
12
7
15
14
19
39
12

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206379&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206379&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206379&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' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,0[-510.0133330.0133330.001333
[0,10[5150.20.2133330.02
[10,20[15140.1866670.40.018667
[20,30[2570.0933330.4933330.009333
[30,40[35100.1333330.6266670.013333
[40,50[4570.0933330.720.009333
[50,60[5580.1066670.8266670.010667
[60,70[6590.120.9466670.012
[70,80]7540.05333310.005333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,0[ & -5 & 1 & 0.013333 & 0.013333 & 0.001333 \tabularnewline
[0,10[ & 5 & 15 & 0.2 & 0.213333 & 0.02 \tabularnewline
[10,20[ & 15 & 14 & 0.186667 & 0.4 & 0.018667 \tabularnewline
[20,30[ & 25 & 7 & 0.093333 & 0.493333 & 0.009333 \tabularnewline
[30,40[ & 35 & 10 & 0.133333 & 0.626667 & 0.013333 \tabularnewline
[40,50[ & 45 & 7 & 0.093333 & 0.72 & 0.009333 \tabularnewline
[50,60[ & 55 & 8 & 0.106667 & 0.826667 & 0.010667 \tabularnewline
[60,70[ & 65 & 9 & 0.12 & 0.946667 & 0.012 \tabularnewline
[70,80] & 75 & 4 & 0.053333 & 1 & 0.005333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206379&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][-10,0[[/C][C]-5[/C][C]1[/C][C]0.013333[/C][C]0.013333[/C][C]0.001333[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]15[/C][C]0.2[/C][C]0.213333[/C][C]0.02[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]14[/C][C]0.186667[/C][C]0.4[/C][C]0.018667[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]7[/C][C]0.093333[/C][C]0.493333[/C][C]0.009333[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]10[/C][C]0.133333[/C][C]0.626667[/C][C]0.013333[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]7[/C][C]0.093333[/C][C]0.72[/C][C]0.009333[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]8[/C][C]0.106667[/C][C]0.826667[/C][C]0.010667[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]9[/C][C]0.12[/C][C]0.946667[/C][C]0.012[/C][/ROW]
[ROW][C][70,80][/C][C]75[/C][C]4[/C][C]0.053333[/C][C]1[/C][C]0.005333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206379&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206379&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
[-10,0[-510.0133330.0133330.001333
[0,10[5150.20.2133330.02
[10,20[15140.1866670.40.018667
[20,30[2570.0933330.4933330.009333
[30,40[35100.1333330.6266670.013333
[40,50[4570.0933330.720.009333
[50,60[5580.1066670.8266670.010667
[60,70[6590.120.9466670.012
[70,80]7540.05333310.005333


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')
}