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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 24 Oct 2009 14:53:39 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/24/t12564176482zl91qjaat5wqqp.htm/, Retrieved Fri, 03 May 2024 09:05:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50250, Retrieved Fri, 03 May 2024 09:05:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [SHWWS2] [2009-10-13 19:25:22] [f966872135bb25240f339c0c372beeec]
-    D  [Univariate Data Series] [SHWWS2.2] [2009-10-13 19:36:24] [f966872135bb25240f339c0c372beeec]
-   PD    [Univariate Data Series] [SHWWS3V2.2] [2009-10-24 20:37:21] [f966872135bb25240f339c0c372beeec]
- RMP         [Histogram] [SHWWS3V3.2.2] [2009-10-24 20:53:39] [ad87854c04c4a917385375bf83f61258] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8
10
7
55
-35
-6
35
-29
-13
0
-12
27
24
21
42
0
50
34
30
13
-13
11
-8
-8
-20
43
28
-7
5
0
-12
23
20
-3
-21
-4
6
-6
-25
32
-8
7
-14
6
-17
-11
-11
-27
2
2
2
34
-24
17
-15
-22
-23
8
-11
-28

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50250&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]6 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=50250&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50250&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 time6 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-40,-30[-3510.0166670.0166670.001667
[-30,-20[-2580.1333330.150.013333
[-20,-10[-15110.1833330.3333330.018333
[-10,0[-580.1333330.4666670.013333
[0,10[5130.2166670.6833330.021667
[10,20[1540.0666670.750.006667
[20,30[2560.10.850.01
[30,40[3550.0833330.9333330.008333
[40,50[4520.0333330.9666670.003333
[50,60]5520.03333310.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-40,-30[ & -35 & 1 & 0.016667 & 0.016667 & 0.001667 \tabularnewline
[-30,-20[ & -25 & 8 & 0.133333 & 0.15 & 0.013333 \tabularnewline
[-20,-10[ & -15 & 11 & 0.183333 & 0.333333 & 0.018333 \tabularnewline
[-10,0[ & -5 & 8 & 0.133333 & 0.466667 & 0.013333 \tabularnewline
[0,10[ & 5 & 13 & 0.216667 & 0.683333 & 0.021667 \tabularnewline
[10,20[ & 15 & 4 & 0.066667 & 0.75 & 0.006667 \tabularnewline
[20,30[ & 25 & 6 & 0.1 & 0.85 & 0.01 \tabularnewline
[30,40[ & 35 & 5 & 0.083333 & 0.933333 & 0.008333 \tabularnewline
[40,50[ & 45 & 2 & 0.033333 & 0.966667 & 0.003333 \tabularnewline
[50,60] & 55 & 2 & 0.033333 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50250&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,-30[[/C][C]-35[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.001667[/C][/ROW]
[ROW][C][-30,-20[[/C][C]-25[/C][C]8[/C][C]0.133333[/C][C]0.15[/C][C]0.013333[/C][/ROW]
[ROW][C][-20,-10[[/C][C]-15[/C][C]11[/C][C]0.183333[/C][C]0.333333[/C][C]0.018333[/C][/ROW]
[ROW][C][-10,0[[/C][C]-5[/C][C]8[/C][C]0.133333[/C][C]0.466667[/C][C]0.013333[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]13[/C][C]0.216667[/C][C]0.683333[/C][C]0.021667[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]4[/C][C]0.066667[/C][C]0.75[/C][C]0.006667[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]6[/C][C]0.1[/C][C]0.85[/C][C]0.01[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]5[/C][C]0.083333[/C][C]0.933333[/C][C]0.008333[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]2[/C][C]0.033333[/C][C]0.966667[/C][C]0.003333[/C][/ROW]
[ROW][C][50,60][/C][C]55[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50250&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50250&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,-30[-3510.0166670.0166670.001667
[-30,-20[-2580.1333330.150.013333
[-20,-10[-15110.1833330.3333330.018333
[-10,0[-580.1333330.4666670.013333
[0,10[5130.2166670.6833330.021667
[10,20[1540.0666670.750.006667
[20,30[2560.10.850.01
[30,40[3550.0833330.9333330.008333
[40,50[4520.0333330.9666670.003333
[50,60]5520.03333310.003333


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.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')