Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 17 Feb 2008 06:40:06 -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/17/t1203255856uyb074bdeg8qu3s.htm/, Retrieved Fri, 10 May 2024 16:16:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8291, Retrieved Fri, 10 May 2024 16:16:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact237
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Prijs enkele rit ...] [2008-02-17 13:40:06] [88615a9036e6e98ff64037322024b7ad] [Current]
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Dataseries X:
8.16
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.43
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.68
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
8.92
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.3
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.6
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
9.9
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2
10.2




Summary of compuational 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 compuational 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=8291&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]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=8291&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8291&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[8,8.2[8.110.0117650.0117650.058824
[8.2,8.4[8.3000.0117650
[8.4,8.6[8.5130.1529410.1647060.764706
[8.6,8.8[8.7120.1411760.3058820.705882
[8.8,9[8.9120.1411760.4470590.705882
[9,9.2[9.1000.4470590
[9.2,9.4[9.3120.1411760.5882350.705882
[9.4,9.6[9.5000.5882350
[9.6,9.8[9.7120.1411760.7294120.705882
[9.8,10[9.9120.1411760.8705880.705882
[10,10.2]10.1110.12941210.647059

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[8,8.2[ & 8.1 & 1 & 0.011765 & 0.011765 & 0.058824 \tabularnewline
[8.2,8.4[ & 8.3 & 0 & 0 & 0.011765 & 0 \tabularnewline
[8.4,8.6[ & 8.5 & 13 & 0.152941 & 0.164706 & 0.764706 \tabularnewline
[8.6,8.8[ & 8.7 & 12 & 0.141176 & 0.305882 & 0.705882 \tabularnewline
[8.8,9[ & 8.9 & 12 & 0.141176 & 0.447059 & 0.705882 \tabularnewline
[9,9.2[ & 9.1 & 0 & 0 & 0.447059 & 0 \tabularnewline
[9.2,9.4[ & 9.3 & 12 & 0.141176 & 0.588235 & 0.705882 \tabularnewline
[9.4,9.6[ & 9.5 & 0 & 0 & 0.588235 & 0 \tabularnewline
[9.6,9.8[ & 9.7 & 12 & 0.141176 & 0.729412 & 0.705882 \tabularnewline
[9.8,10[ & 9.9 & 12 & 0.141176 & 0.870588 & 0.705882 \tabularnewline
[10,10.2] & 10.1 & 11 & 0.129412 & 1 & 0.647059 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8291&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][8,8.2[[/C][C]8.1[/C][C]1[/C][C]0.011765[/C][C]0.011765[/C][C]0.058824[/C][/ROW]
[ROW][C][8.2,8.4[[/C][C]8.3[/C][C]0[/C][C]0[/C][C]0.011765[/C][C]0[/C][/ROW]
[ROW][C][8.4,8.6[[/C][C]8.5[/C][C]13[/C][C]0.152941[/C][C]0.164706[/C][C]0.764706[/C][/ROW]
[ROW][C][8.6,8.8[[/C][C]8.7[/C][C]12[/C][C]0.141176[/C][C]0.305882[/C][C]0.705882[/C][/ROW]
[ROW][C][8.8,9[[/C][C]8.9[/C][C]12[/C][C]0.141176[/C][C]0.447059[/C][C]0.705882[/C][/ROW]
[ROW][C][9,9.2[[/C][C]9.1[/C][C]0[/C][C]0[/C][C]0.447059[/C][C]0[/C][/ROW]
[ROW][C][9.2,9.4[[/C][C]9.3[/C][C]12[/C][C]0.141176[/C][C]0.588235[/C][C]0.705882[/C][/ROW]
[ROW][C][9.4,9.6[[/C][C]9.5[/C][C]0[/C][C]0[/C][C]0.588235[/C][C]0[/C][/ROW]
[ROW][C][9.6,9.8[[/C][C]9.7[/C][C]12[/C][C]0.141176[/C][C]0.729412[/C][C]0.705882[/C][/ROW]
[ROW][C][9.8,10[[/C][C]9.9[/C][C]12[/C][C]0.141176[/C][C]0.870588[/C][C]0.705882[/C][/ROW]
[ROW][C][10,10.2][/C][C]10.1[/C][C]11[/C][C]0.129412[/C][C]1[/C][C]0.647059[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8291&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8291&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
[8,8.2[8.110.0117650.0117650.058824
[8.2,8.4[8.3000.0117650
[8.4,8.6[8.5130.1529410.1647060.764706
[8.6,8.8[8.7120.1411760.3058820.705882
[8.8,9[8.9120.1411760.4470590.705882
[9,9.2[9.1000.4470590
[9.2,9.4[9.3120.1411760.5882350.705882
[9.4,9.6[9.5000.5882350
[9.6,9.8[9.7120.1411760.7294120.705882
[9.8,10[9.9120.1411760.8705880.705882
[10,10.2]10.1110.12941210.647059



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')