Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 08 Feb 2009 12:57:12 -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/08/t1234123230oz5196jgjvaaxv7.htm/, Retrieved Sat, 11 May 2024 08:42:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37106, Retrieved Sat, 11 May 2024 08:42:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Fototoestel - Nin...] [2009-02-08 19:57:12] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
125,53
125,55
125,54
125,83
126,62
129,22
129,23
130,59
132,72
133,58
136,1
137,38
137,38
137,64
138,54
138,85
142,22
144,23
144,23
145,87
146,27
148,6
149,62
154,93
154,97
154,94
154,81
155,25
156,2
156,8
156,8
156,24
156,79
157,75
157,55
157,39
157,39
156,43
156,1
155,92
156,66
156,75
156,76
156,8
157,06
157,47
157,88
158,03
158,75
158,75
158,71
159,25
158,2
157,69
157,69
158,15
158,5
158,7
159,71
158,18
158,17
158,04
158,23
157,68
157,49
157,26
157,33
156,57
156,77
157,8
157,63
158,8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37106&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37106&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[125,130[127.570.0972220.0972220.019444
[130,135[132.530.0416670.1388890.008333
[135,140[137.560.0833330.2222220.016667
[140,145[142.530.0416670.2638890.008333
[145,150[147.540.0555560.3194440.011111
[150,155[152.540.0555560.3750.011111
[155,160]157.5450.62510.125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[125,130[ & 127.5 & 7 & 0.097222 & 0.097222 & 0.019444 \tabularnewline
[130,135[ & 132.5 & 3 & 0.041667 & 0.138889 & 0.008333 \tabularnewline
[135,140[ & 137.5 & 6 & 0.083333 & 0.222222 & 0.016667 \tabularnewline
[140,145[ & 142.5 & 3 & 0.041667 & 0.263889 & 0.008333 \tabularnewline
[145,150[ & 147.5 & 4 & 0.055556 & 0.319444 & 0.011111 \tabularnewline
[150,155[ & 152.5 & 4 & 0.055556 & 0.375 & 0.011111 \tabularnewline
[155,160] & 157.5 & 45 & 0.625 & 1 & 0.125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37106&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][125,130[[/C][C]127.5[/C][C]7[/C][C]0.097222[/C][C]0.097222[/C][C]0.019444[/C][/ROW]
[ROW][C][130,135[[/C][C]132.5[/C][C]3[/C][C]0.041667[/C][C]0.138889[/C][C]0.008333[/C][/ROW]
[ROW][C][135,140[[/C][C]137.5[/C][C]6[/C][C]0.083333[/C][C]0.222222[/C][C]0.016667[/C][/ROW]
[ROW][C][140,145[[/C][C]142.5[/C][C]3[/C][C]0.041667[/C][C]0.263889[/C][C]0.008333[/C][/ROW]
[ROW][C][145,150[[/C][C]147.5[/C][C]4[/C][C]0.055556[/C][C]0.319444[/C][C]0.011111[/C][/ROW]
[ROW][C][150,155[[/C][C]152.5[/C][C]4[/C][C]0.055556[/C][C]0.375[/C][C]0.011111[/C][/ROW]
[ROW][C][155,160][/C][C]157.5[/C][C]45[/C][C]0.625[/C][C]1[/C][C]0.125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37106&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
[125,130[127.570.0972220.0972220.019444
[130,135[132.530.0416670.1388890.008333
[135,140[137.560.0833330.2222220.016667
[140,145[142.530.0416670.2638890.008333
[145,150[147.540.0555560.3194440.011111
[150,155[152.540.0555560.3750.011111
[155,160]157.5450.62510.125



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')