Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 05 Dec 2014 15:47:11 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/05/t1417794442uhu98np8mbv45tw.htm/, Retrieved Thu, 31 Oct 2024 23:45:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263508, Retrieved Thu, 31 Oct 2024 23:45:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-12-05 15:47:11] [823d84bc2f1aa2ddbab319cc794dd4cf] [Current]
Feedback Forum

Post a new message
Dataseries X:
104,31
104,76
105,68
106,22
106,69
107,17
107,46
107,16
107,35
107,65
107,75
108,22
108,68
109,35
109,54
109,46
108,86
108,63
107,55
106,8
106,07
106,44
106,38
107,07
106,54
107,83
108,06
108,49
107,9
108,02
108,46
108,31
107,69
107,71
107,74
108,15
107,39
109,16
109,65
110,4
110,26
110,5
110,31
109,85
109,4
109,75
109,79
110,27
109,19
111,78
111,58
111,71
111,59
112,14
111,73
111,32
111,29
112,45
112,61
114,3
113,32
114,85
115,35
114,9
115,49
115,55
115,44
114,81
113,83
113,64
113,26
114,68




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263508&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263508&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 Maurice George Kendall' @ kendall.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[104,106[10530.0416670.0416670.020833
[106,108[107210.2916670.3333330.145833
[108,110[109200.2777780.6111110.138889
[110,112[111120.1666670.7777780.083333
[112,114[11370.0972220.8750.048611
[114,116]11590.12510.0625

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[104,106[ & 105 & 3 & 0.041667 & 0.041667 & 0.020833 \tabularnewline
[106,108[ & 107 & 21 & 0.291667 & 0.333333 & 0.145833 \tabularnewline
[108,110[ & 109 & 20 & 0.277778 & 0.611111 & 0.138889 \tabularnewline
[110,112[ & 111 & 12 & 0.166667 & 0.777778 & 0.083333 \tabularnewline
[112,114[ & 113 & 7 & 0.097222 & 0.875 & 0.048611 \tabularnewline
[114,116] & 115 & 9 & 0.125 & 1 & 0.0625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263508&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][104,106[[/C][C]105[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.020833[/C][/ROW]
[ROW][C][106,108[[/C][C]107[/C][C]21[/C][C]0.291667[/C][C]0.333333[/C][C]0.145833[/C][/ROW]
[ROW][C][108,110[[/C][C]109[/C][C]20[/C][C]0.277778[/C][C]0.611111[/C][C]0.138889[/C][/ROW]
[ROW][C][110,112[[/C][C]111[/C][C]12[/C][C]0.166667[/C][C]0.777778[/C][C]0.083333[/C][/ROW]
[ROW][C][112,114[[/C][C]113[/C][C]7[/C][C]0.097222[/C][C]0.875[/C][C]0.048611[/C][/ROW]
[ROW][C][114,116][/C][C]115[/C][C]9[/C][C]0.125[/C][C]1[/C][C]0.0625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263508&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
[104,106[10530.0416670.0416670.020833
[106,108[107210.2916670.3333330.145833
[108,110[109200.2777780.6111110.138889
[110,112[111120.1666670.7777780.083333
[112,114[11370.0972220.8750.048611
[114,116]11590.12510.0625



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.numeric(x[1])) {
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)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}