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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 computationMon, 20 Oct 2008 15:24:59 -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/2008/Oct/20/t1224537968j7gy5fszccrdwi4.htm/, Retrieved Sun, 19 May 2024 15:22:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18176, Retrieved Sun, 19 May 2024 15:22:31 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
-   PD  [Harrell-Davis Quantiles] [Q7 Quantiles Tota...] [2008-10-19 19:50:40] [cf9c64468d04c2c4dd548cc66b4e3677]
F RMPD      [Histogram] [Q8 Histogram Hout...] [2008-10-20 21:24:59] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
Feedback Forum
2008-10-24 10:11:52 [Kim Wester] [reply] 
Correct.
Toevoeging: welke waarden kunnen er worden toegerekend aan de x-as? Nu staat er 100-140. Maar zijn dit kilo's, meters etc.? Dit is ook niet terug te vinden in uw tabellen in het Word-document (bladzijde 8).

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112,5
111,3
104,5
112,3
109
110,3
114,1
108,3
112,1
114,5
110,3
112,6
108,2
110,5
115,1
115,9
112,6
115,3
113,8
111,2
119,9
107,3
110,9
117,8
112,7
111,8
102,1
115,5
109,4
114,8
111,8
114,8
111,1
107,1
112,5
113,5
115,3
114,7
116,9
113,7
123,8
117,6
118,1
120,7
120,8
125,7
125
124
123,4
125,1
124,4
121,1
122,5
142,4
133,8
131,4
126,7
128,7
110,7
110,2

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18176&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18176&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18176&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'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,105[102.520.0333330.0333330.006667
[105,110[107.560.10.1333330.02
[110,115[112.5260.4333330.5666670.086667
[115,120[117.5100.1666670.7333330.033333
[120,125[122.580.1333330.8666670.026667
[125,130[127.550.0833330.950.016667
[130,135[132.520.0333330.9833330.006667
[135,140[137.5000.9833330
[140,145]142.510.01666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,105[ & 102.5 & 2 & 0.033333 & 0.033333 & 0.006667 \tabularnewline
[105,110[ & 107.5 & 6 & 0.1 & 0.133333 & 0.02 \tabularnewline
[110,115[ & 112.5 & 26 & 0.433333 & 0.566667 & 0.086667 \tabularnewline
[115,120[ & 117.5 & 10 & 0.166667 & 0.733333 & 0.033333 \tabularnewline
[120,125[ & 122.5 & 8 & 0.133333 & 0.866667 & 0.026667 \tabularnewline
[125,130[ & 127.5 & 5 & 0.083333 & 0.95 & 0.016667 \tabularnewline
[130,135[ & 132.5 & 2 & 0.033333 & 0.983333 & 0.006667 \tabularnewline
[135,140[ & 137.5 & 0 & 0 & 0.983333 & 0 \tabularnewline
[140,145] & 142.5 & 1 & 0.016667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18176&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][100,105[[/C][C]102.5[/C][C]2[/C][C]0.033333[/C][C]0.033333[/C][C]0.006667[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]6[/C][C]0.1[/C][C]0.133333[/C][C]0.02[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]26[/C][C]0.433333[/C][C]0.566667[/C][C]0.086667[/C][/ROW]
[ROW][C][115,120[[/C][C]117.5[/C][C]10[/C][C]0.166667[/C][C]0.733333[/C][C]0.033333[/C][/ROW]
[ROW][C][120,125[[/C][C]122.5[/C][C]8[/C][C]0.133333[/C][C]0.866667[/C][C]0.026667[/C][/ROW]
[ROW][C][125,130[[/C][C]127.5[/C][C]5[/C][C]0.083333[/C][C]0.95[/C][C]0.016667[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]2[/C][C]0.033333[/C][C]0.983333[/C][C]0.006667[/C][/ROW]
[ROW][C][135,140[[/C][C]137.5[/C][C]0[/C][C]0[/C][C]0.983333[/C][C]0[/C][/ROW]
[ROW][C][140,145][/C][C]142.5[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18176&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18176&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
[100,105[102.520.0333330.0333330.006667
[105,110[107.560.10.1333330.02
[110,115[112.5260.4333330.5666670.086667
[115,120[117.5100.1666670.7333330.033333
[120,125[122.580.1333330.8666670.026667
[125,130[127.550.0833330.950.016667
[130,135[132.520.0333330.9833330.006667
[135,140[137.5000.9833330
[140,145]142.510.01666710.003333


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = yellow ; par3 = FALSE ; par4 = Interval/Ratio ;
Parameters (R input):
par1 = ; par2 = yellow ; par3 = FALSE ; par4 = Interval/Ratio ;
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')