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datareeks - frequentietabel oefening2 gemiddelde prijs van een strip - Kenn...

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 16 Feb 2009 05:56:34 -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/2009/Feb/16/t1234789253txfolgozcf2gz8l.htm/, Retrieved Sat, 18 May 2024 16:20:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37669, Retrieved Sat, 18 May 2024 16:20:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - De ge...] [2009-02-16 11:13:21] [c0a082a3f0ffbb7740012c56343cda35]
- RMP     [Histogram] [datareeks - frequ...] [2009-02-16 12:56:34] [c5e1060c592e1b98fa57d9070c81381c] [Current]
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Dataseries X:
5,11
5,11
5,11
5,1
5,1
5,1
5,1
5,1
5,12
5,25
5,26
5,26
5,26
5,26
5,26
5,26
5,29
5,3
5,33
5,33
5,35
5,38
5,38
5,38
5,38
5,38
5,39
5,39
5,4
5,4
5,4
5,4
5,4
5,41
5,41
5,41
5,41
5,41
5,42
5,42
5,42
5,42
5,43
5,43
5,45
5,51
5,51
5,51
5,51
5,51
5,51
5,53
5,53
5,53
5,53
5,52
5,53
5,54
5,54
5,57
5,56
5,57
5,58
5,61
5,66
5,68
5,69
5,7
5,72
5,71
5,69
5,7
5,7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37669&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37669&T=0

As an alternative you can also use a 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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.1,5.2[5.1590.1232880.1232881.232877
[5.2,5.3[5.2580.1095890.2328771.09589
[5.3,5.4[5.35110.1506850.3835621.506849
[5.4,5.5[5.45170.2328770.6164382.328767
[5.5,5.6[5.55180.2465750.8630142.465753
[5.6,5.7[5.6550.0684930.9315070.684932
[5.7,5.8]5.7550.06849310.684931

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5.1,5.2[ & 5.15 & 9 & 0.123288 & 0.123288 & 1.232877 \tabularnewline
[5.2,5.3[ & 5.25 & 8 & 0.109589 & 0.232877 & 1.09589 \tabularnewline
[5.3,5.4[ & 5.35 & 11 & 0.150685 & 0.383562 & 1.506849 \tabularnewline
[5.4,5.5[ & 5.45 & 17 & 0.232877 & 0.616438 & 2.328767 \tabularnewline
[5.5,5.6[ & 5.55 & 18 & 0.246575 & 0.863014 & 2.465753 \tabularnewline
[5.6,5.7[ & 5.65 & 5 & 0.068493 & 0.931507 & 0.684932 \tabularnewline
[5.7,5.8] & 5.75 & 5 & 0.068493 & 1 & 0.684931 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37669&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][5.1,5.2[[/C][C]5.15[/C][C]9[/C][C]0.123288[/C][C]0.123288[/C][C]1.232877[/C][/ROW]
[ROW][C][5.2,5.3[[/C][C]5.25[/C][C]8[/C][C]0.109589[/C][C]0.232877[/C][C]1.09589[/C][/ROW]
[ROW][C][5.3,5.4[[/C][C]5.35[/C][C]11[/C][C]0.150685[/C][C]0.383562[/C][C]1.506849[/C][/ROW]
[ROW][C][5.4,5.5[[/C][C]5.45[/C][C]17[/C][C]0.232877[/C][C]0.616438[/C][C]2.328767[/C][/ROW]
[ROW][C][5.5,5.6[[/C][C]5.55[/C][C]18[/C][C]0.246575[/C][C]0.863014[/C][C]2.465753[/C][/ROW]
[ROW][C][5.6,5.7[[/C][C]5.65[/C][C]5[/C][C]0.068493[/C][C]0.931507[/C][C]0.684932[/C][/ROW]
[ROW][C][5.7,5.8][/C][C]5.75[/C][C]5[/C][C]0.068493[/C][C]1[/C][C]0.684931[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37669&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5.1,5.2[5.1590.1232880.1232881.232877
[5.2,5.3[5.2580.1095890.2328771.09589
[5.3,5.4[5.35110.1506850.3835621.506849
[5.4,5.5[5.45170.2328770.6164382.328767
[5.5,5.6[5.55180.2465750.8630142.465753
[5.6,5.7[5.6550.0684930.9315070.684932
[5.7,5.8]5.7550.06849310.684931



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')