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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 22 Feb 2010 11:45:08 -0700
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/Feb/22/t12668643761g2pxhhm299fwcn.htm/, Retrieved Tue, 16 Apr 2024 04:57:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73325, Retrieved Tue, 16 Apr 2024 04:57:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact156

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Frequentietabel o...] [2010-02-08 19:00:43] [d55bb1ef16e3b8cdcae7197d789191ee]
-   P     [Histogram] [] [2010-02-22 18:45:08] [676a4f18bfa59791b951d67c8b4b8fd1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
77
70
67
76
85
106
108
120
108
111
109
104
104
117
111
110
116
118
115
111
112
97
106
93
95
97
81
71
75
70
72
80
78
80
81
99
87
100
95
128
112
104
102
108
103
99
96
85
78
74
106
100
109
87
107
106
109
83
84
83
65
68
61
75
66
78
68
68
174
64
48
45

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=73325&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=73325&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73325&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
[40,60[5020.0277780.0277780.001389
[60,80[70200.2777780.3055560.013889
[80,100[90190.2638890.5694440.013194
[100,120[110280.3888890.9583330.019444
[120,140[13020.0277780.9861110.001389
[140,160[150000.9861110
[160,180]17010.01388910.000694

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,60[ & 50 & 2 & 0.027778 & 0.027778 & 0.001389 \tabularnewline
[60,80[ & 70 & 20 & 0.277778 & 0.305556 & 0.013889 \tabularnewline
[80,100[ & 90 & 19 & 0.263889 & 0.569444 & 0.013194 \tabularnewline
[100,120[ & 110 & 28 & 0.388889 & 0.958333 & 0.019444 \tabularnewline
[120,140[ & 130 & 2 & 0.027778 & 0.986111 & 0.001389 \tabularnewline
[140,160[ & 150 & 0 & 0 & 0.986111 & 0 \tabularnewline
[160,180] & 170 & 1 & 0.013889 & 1 & 0.000694 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73325&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][40,60[[/C][C]50[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.001389[/C][/ROW]
[ROW][C][60,80[[/C][C]70[/C][C]20[/C][C]0.277778[/C][C]0.305556[/C][C]0.013889[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]19[/C][C]0.263889[/C][C]0.569444[/C][C]0.013194[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]28[/C][C]0.388889[/C][C]0.958333[/C][C]0.019444[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]0.001389[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]0[/C][C]0[/C][C]0.986111[/C][C]0[/C][/ROW]
[ROW][C][160,180][/C][C]170[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000694[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73325&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73325&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
[40,60[5020.0277780.0277780.001389
[60,80[70200.2777780.3055560.013889
[80,100[90190.2638890.5694440.013194
[100,120[110280.3888890.9583330.019444
[120,140[13020.0277780.9861110.001389
[140,160[150000.9861110
[160,180]17010.01388910.000694


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = blue ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = blue ; 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.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)
}
dev.off()
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')