Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 19 May 2011 22:34:07 +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/2011/May/20/t1305844206eo1lzcd4qetxtk5.htm/, Retrieved Mon, 13 May 2024 04:38:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=122265, Retrieved Mon, 13 May 2024 04:38:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [KDGP1W22] [2011-05-19 22:34:07] [75b7fe93b57f9e359de9d9cae642ffd9] [Current]
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Dataseries X:
8,53
8,52
8,51
8,53
8,54
8,53
8,47
8,63
8,67
8,73
8,57
8,55
8,63
8,65
8,44
8,62
8,37
8,59
8,84
8,72
8,8
8,69
8,68
8,57
8,85
8,85
8,85
8,93
8,75
7,24
7,52
7,57
7,59
7,58
7,55
7,52
7,55
7,62
7,64
7,68
7,69
7,7
7,6
7,51
7,66
7,69
7,66
7,7
7,72
7,74
7,76
7,72
7,73
7,75
8,1
8,22
8,32
8,07
8,18
8,33
8,34
8,25
8,36
8,36
8,34
8,41
8,39
8,43
8,44
8,49
8,47
8,78
8,77
9,03
9,01
9,07
8,99
9,02
8,99
8,98
8,94
8,94
8,75
8,86




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122265&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122265&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122265&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 Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[7.2,7.4[7.310.0119050.0119050.059524
[7.4,7.6[7.580.0952380.1071430.47619
[7.6,7.8[7.7160.1904760.2976190.952381
[7.8,8[7.9000.2976190
[8,8.2[8.130.0357140.3333330.178571
[8.2,8.4[8.3100.1190480.4523810.595238
[8.4,8.6[8.5170.2023810.6547621.011905
[8.6,8.8[8.7130.1547620.8095240.77381
[8.8,9[8.9120.1428570.9523810.714286
[9,9.2]9.140.04761910.238095

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[7.2,7.4[ & 7.3 & 1 & 0.011905 & 0.011905 & 0.059524 \tabularnewline
[7.4,7.6[ & 7.5 & 8 & 0.095238 & 0.107143 & 0.47619 \tabularnewline
[7.6,7.8[ & 7.7 & 16 & 0.190476 & 0.297619 & 0.952381 \tabularnewline
[7.8,8[ & 7.9 & 0 & 0 & 0.297619 & 0 \tabularnewline
[8,8.2[ & 8.1 & 3 & 0.035714 & 0.333333 & 0.178571 \tabularnewline
[8.2,8.4[ & 8.3 & 10 & 0.119048 & 0.452381 & 0.595238 \tabularnewline
[8.4,8.6[ & 8.5 & 17 & 0.202381 & 0.654762 & 1.011905 \tabularnewline
[8.6,8.8[ & 8.7 & 13 & 0.154762 & 0.809524 & 0.77381 \tabularnewline
[8.8,9[ & 8.9 & 12 & 0.142857 & 0.952381 & 0.714286 \tabularnewline
[9,9.2] & 9.1 & 4 & 0.047619 & 1 & 0.238095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=122265&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][7.2,7.4[[/C][C]7.3[/C][C]1[/C][C]0.011905[/C][C]0.011905[/C][C]0.059524[/C][/ROW]
[ROW][C][7.4,7.6[[/C][C]7.5[/C][C]8[/C][C]0.095238[/C][C]0.107143[/C][C]0.47619[/C][/ROW]
[ROW][C][7.6,7.8[[/C][C]7.7[/C][C]16[/C][C]0.190476[/C][C]0.297619[/C][C]0.952381[/C][/ROW]
[ROW][C][7.8,8[[/C][C]7.9[/C][C]0[/C][C]0[/C][C]0.297619[/C][C]0[/C][/ROW]
[ROW][C][8,8.2[[/C][C]8.1[/C][C]3[/C][C]0.035714[/C][C]0.333333[/C][C]0.178571[/C][/ROW]
[ROW][C][8.2,8.4[[/C][C]8.3[/C][C]10[/C][C]0.119048[/C][C]0.452381[/C][C]0.595238[/C][/ROW]
[ROW][C][8.4,8.6[[/C][C]8.5[/C][C]17[/C][C]0.202381[/C][C]0.654762[/C][C]1.011905[/C][/ROW]
[ROW][C][8.6,8.8[[/C][C]8.7[/C][C]13[/C][C]0.154762[/C][C]0.809524[/C][C]0.77381[/C][/ROW]
[ROW][C][8.8,9[[/C][C]8.9[/C][C]12[/C][C]0.142857[/C][C]0.952381[/C][C]0.714286[/C][/ROW]
[ROW][C][9,9.2][/C][C]9.1[/C][C]4[/C][C]0.047619[/C][C]1[/C][C]0.238095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=122265&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=122265&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
[7.2,7.4[7.310.0119050.0119050.059524
[7.4,7.6[7.580.0952380.1071430.47619
[7.6,7.8[7.7160.1904760.2976190.952381
[7.8,8[7.9000.2976190
[8,8.2[8.130.0357140.3333330.178571
[8.2,8.4[8.3100.1190480.4523810.595238
[8.4,8.6[8.5170.2023810.6547621.011905
[8.6,8.8[8.7130.1547620.8095240.77381
[8.8,9[8.9120.1428570.9523810.714286
[9,9.2]9.140.04761910.238095



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')
}