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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 25 Sep 2008 01:35:39 -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/2008/Sep/25/t1222328385m5ffkjtxojbccd6.htm/, Retrieved Sat, 18 May 2024 13:47:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14755, Retrieved Sat, 18 May 2024 13:47:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact257
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel-p...] [2008-09-25 07:35:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD    [Histogram] [Opgave2 oefening2...] [2008-10-02 19:29:21] [74be16979710d4c4e7c6647856088456]
-   PD    [Histogram] [Opgave2 oefening ...] [2008-10-02 19:34:39] [74be16979710d4c4e7c6647856088456]
- RMPD    [Kernel Density Estimation] [Opgave2 oefening2...] [2008-10-02 19:36:34] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
18.33
18.22
18.21
18.06
18.26
18.21
18.05
18.25
18.27
18.28
18.13
18.01
18.02
17.97
18.06
18.08
18.23
18.06
18.23
18.17
18.27
18.33
18.18
18.29
18.33
18.31
18.44
18.63
18.37
18.59
18.72
18.75
18.87
18.83
18.89
18.78
19.27
19.19
19.43
19.36
19.39
19.07
19.31
19.19
19.06
19.05
19.49
19.25
19.76
20.35
19.61
19.33
18.95
18.97
19.28
19.41
18.99
19.37
19.63
19.53
19.86
20.13
19.47
19.49
18.95
19.33
19.65
19.44
19.73
18.89
19.56
19.56





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14755&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]2 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=14755&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14755&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[17.5,18[17.7510.0138890.0138890.027778
[18,18.5[18.25270.3750.3888890.75
[18.5,19[18.75130.1805560.5694440.361111
[19,19.5[19.25200.2777780.8472220.555556
[19.5,20[19.7590.1250.9722220.25
[20,20.5]20.2520.02777810.055556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[17.5,18[ & 17.75 & 1 & 0.013889 & 0.013889 & 0.027778 \tabularnewline
[18,18.5[ & 18.25 & 27 & 0.375 & 0.388889 & 0.75 \tabularnewline
[18.5,19[ & 18.75 & 13 & 0.180556 & 0.569444 & 0.361111 \tabularnewline
[19,19.5[ & 19.25 & 20 & 0.277778 & 0.847222 & 0.555556 \tabularnewline
[19.5,20[ & 19.75 & 9 & 0.125 & 0.972222 & 0.25 \tabularnewline
[20,20.5] & 20.25 & 2 & 0.027778 & 1 & 0.055556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14755&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][17.5,18[[/C][C]17.75[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.027778[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]27[/C][C]0.375[/C][C]0.388889[/C][C]0.75[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]13[/C][C]0.180556[/C][C]0.569444[/C][C]0.361111[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]20[/C][C]0.277778[/C][C]0.847222[/C][C]0.555556[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]9[/C][C]0.125[/C][C]0.972222[/C][C]0.25[/C][/ROW]
[ROW][C][20,20.5][/C][C]20.25[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.055556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14755&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14755&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
[17.5,18[17.7510.0138890.0138890.027778
[18,18.5[18.25270.3750.3888890.75
[18.5,19[18.75130.1805560.5694440.361111
[19,19.5[19.25200.2777780.8472220.555556
[19.5,20[19.7590.1250.9722220.25
[20,20.5]20.2520.02777810.055556



Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 5 ; 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')