Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 25 Feb 2008 10:00:05 -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/2008/Feb/25/t1203958849iut3k1pkwyf5s7r.htm/, Retrieved Sat, 11 May 2024 18:34:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8969, Retrieved Sat, 11 May 2024 18:34:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [gemiddelde consum...] [2008-02-25 17:00:05] [934a640f32b984cc814aae4d8bf2ca79] [Current]
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Dataseries X:
71.42
71.47
71.55
71.6
71.62
71.64
71.65
71.65
71.65
71.7
71.73
71.83
71.83
71.87
71.91
71.99
72.1
72.12
72.12
72.12
72.25
72.59
72.72
72.76
72.76
72.91
73
73.11
73.11
73.16
73.16
73.33
73.51
73.65
73.65
73.65
73.65
73.66
73.71
73.73
73.77
73.77
73.78
73.85
73.88
74.3
74.53
74.53
74.53
74.53
74.65
74.65
74.65
74.71
74.71
74.78
74.85
74.9
74.96
74.96
74.96
74.98
75.19
75.22
75.33
75.33
75.37
75.44
75.54
75.58
75.59
75.61




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8969&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 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=8969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8969&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[71,71.5[71.2520.0277780.0277780.055556
[71.5,72[71.75140.1944440.2222220.388889
[72,72.5[72.2550.0694440.2916670.138889
[72.5,73[72.7550.0694440.3611110.138889
[73,73.5[73.2560.0833330.4444440.166667
[73.5,74[73.75130.1805560.6250.361111
[74,74.5[74.2510.0138890.6388890.027778
[74.5,75[74.75160.2222220.8611110.444444
[75,75.5[75.2560.0833330.9444440.166667
[75.5,76]75.7540.05555610.111111

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[71,71.5[ & 71.25 & 2 & 0.027778 & 0.027778 & 0.055556 \tabularnewline
[71.5,72[ & 71.75 & 14 & 0.194444 & 0.222222 & 0.388889 \tabularnewline
[72,72.5[ & 72.25 & 5 & 0.069444 & 0.291667 & 0.138889 \tabularnewline
[72.5,73[ & 72.75 & 5 & 0.069444 & 0.361111 & 0.138889 \tabularnewline
[73,73.5[ & 73.25 & 6 & 0.083333 & 0.444444 & 0.166667 \tabularnewline
[73.5,74[ & 73.75 & 13 & 0.180556 & 0.625 & 0.361111 \tabularnewline
[74,74.5[ & 74.25 & 1 & 0.013889 & 0.638889 & 0.027778 \tabularnewline
[74.5,75[ & 74.75 & 16 & 0.222222 & 0.861111 & 0.444444 \tabularnewline
[75,75.5[ & 75.25 & 6 & 0.083333 & 0.944444 & 0.166667 \tabularnewline
[75.5,76] & 75.75 & 4 & 0.055556 & 1 & 0.111111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8969&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][71,71.5[[/C][C]71.25[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.055556[/C][/ROW]
[ROW][C][71.5,72[[/C][C]71.75[/C][C]14[/C][C]0.194444[/C][C]0.222222[/C][C]0.388889[/C][/ROW]
[ROW][C][72,72.5[[/C][C]72.25[/C][C]5[/C][C]0.069444[/C][C]0.291667[/C][C]0.138889[/C][/ROW]
[ROW][C][72.5,73[[/C][C]72.75[/C][C]5[/C][C]0.069444[/C][C]0.361111[/C][C]0.138889[/C][/ROW]
[ROW][C][73,73.5[[/C][C]73.25[/C][C]6[/C][C]0.083333[/C][C]0.444444[/C][C]0.166667[/C][/ROW]
[ROW][C][73.5,74[[/C][C]73.75[/C][C]13[/C][C]0.180556[/C][C]0.625[/C][C]0.361111[/C][/ROW]
[ROW][C][74,74.5[[/C][C]74.25[/C][C]1[/C][C]0.013889[/C][C]0.638889[/C][C]0.027778[/C][/ROW]
[ROW][C][74.5,75[[/C][C]74.75[/C][C]16[/C][C]0.222222[/C][C]0.861111[/C][C]0.444444[/C][/ROW]
[ROW][C][75,75.5[[/C][C]75.25[/C][C]6[/C][C]0.083333[/C][C]0.944444[/C][C]0.166667[/C][/ROW]
[ROW][C][75.5,76][/C][C]75.75[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.111111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8969&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
[71,71.5[71.2520.0277780.0277780.055556
[71.5,72[71.75140.1944440.2222220.388889
[72,72.5[72.2550.0694440.2916670.138889
[72.5,73[72.7550.0694440.3611110.138889
[73,73.5[73.2560.0833330.4444440.166667
[73.5,74[73.75130.1805560.6250.361111
[74,74.5[74.2510.0138890.6388890.027778
[74.5,75[74.75160.2222220.8611110.444444
[75,75.5[75.2560.0833330.9444440.166667
[75.5,76]75.7540.05555610.111111



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')