Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 08 Oct 2009 15:00:34 -0600
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/Oct/08/t1255035687l19rr6n28yvyyii.htm/, Retrieved Sun, 28 Apr 2024 21:02:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=44959, Retrieved Sun, 28 Apr 2024 21:02:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact155
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2009-10-08 21:00:34] [a0577a728571d1f3a39246738c9fa77a] [Current]
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Dataseries X:
1.61
1.58
1.69
1.78
1.76
1.83
1.8
1.57
1.45
1.4
1.55
1.58
1.58
1.59
1.8
1.99
2.06
2.06
2.08
2
1.85
1.77
1.7
1.66
1.67
1.73
1.91
2.02
2.07
2.15
2.1
1.68
1.68
1.65
1.72
1.73
1.76
1.84
1.99
2.05
2.12
2.13
2.08
1.88
1.81
1.81
1.88
1.87
1.87
1.9
2.01
2.05
2.16
2.18
2.15
2.12
2.04
2.04
2.06
1.93
1.86
1.94
2.35
2.46
2.59
2.66
2.41
2.18
2.13
2.11
2.12
2.16
2.07
2.2
2.29
2.32
2.37
2.38
2.38
2.28
2.22
2.25
2.3
2.3
2.23
2.27
2.3
2.32
2.41
2.43
2.45
2.47
2.46
2.5
2.46
2.43
2.37
2.45
2.53
2.56
2.62
2.67
2.62
2.6
2.53
2.49
2.48
2.44




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44959&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44959&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44959&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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.4,1.5[1.4520.0185190.0185190.185185
[1.5,1.6[1.5560.0555560.0740740.555556
[1.6,1.7[1.6570.0648150.1388890.648148
[1.7,1.8[1.7580.0740740.2129630.740741
[1.8,1.9[1.85120.1111110.3240741.111111
[1.9,2[1.9560.0555560.379630.555556
[2,2.1[2.05140.129630.5092591.296296
[2.1,2.2[2.15130.120370.629631.203704
[2.2,2.3[2.2570.0648150.6944440.648148
[2.3,2.4[2.35100.0925930.7870370.925926
[2.4,2.5[2.45130.120370.9074071.203704
[2.5,2.6[2.5550.0462960.9537040.462963
[2.6,2.7]2.6550.04629610.462963

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.4,1.5[ & 1.45 & 2 & 0.018519 & 0.018519 & 0.185185 \tabularnewline
[1.5,1.6[ & 1.55 & 6 & 0.055556 & 0.074074 & 0.555556 \tabularnewline
[1.6,1.7[ & 1.65 & 7 & 0.064815 & 0.138889 & 0.648148 \tabularnewline
[1.7,1.8[ & 1.75 & 8 & 0.074074 & 0.212963 & 0.740741 \tabularnewline
[1.8,1.9[ & 1.85 & 12 & 0.111111 & 0.324074 & 1.111111 \tabularnewline
[1.9,2[ & 1.95 & 6 & 0.055556 & 0.37963 & 0.555556 \tabularnewline
[2,2.1[ & 2.05 & 14 & 0.12963 & 0.509259 & 1.296296 \tabularnewline
[2.1,2.2[ & 2.15 & 13 & 0.12037 & 0.62963 & 1.203704 \tabularnewline
[2.2,2.3[ & 2.25 & 7 & 0.064815 & 0.694444 & 0.648148 \tabularnewline
[2.3,2.4[ & 2.35 & 10 & 0.092593 & 0.787037 & 0.925926 \tabularnewline
[2.4,2.5[ & 2.45 & 13 & 0.12037 & 0.907407 & 1.203704 \tabularnewline
[2.5,2.6[ & 2.55 & 5 & 0.046296 & 0.953704 & 0.462963 \tabularnewline
[2.6,2.7] & 2.65 & 5 & 0.046296 & 1 & 0.462963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44959&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][1.4,1.5[[/C][C]1.45[/C][C]2[/C][C]0.018519[/C][C]0.018519[/C][C]0.185185[/C][/ROW]
[ROW][C][1.5,1.6[[/C][C]1.55[/C][C]6[/C][C]0.055556[/C][C]0.074074[/C][C]0.555556[/C][/ROW]
[ROW][C][1.6,1.7[[/C][C]1.65[/C][C]7[/C][C]0.064815[/C][C]0.138889[/C][C]0.648148[/C][/ROW]
[ROW][C][1.7,1.8[[/C][C]1.75[/C][C]8[/C][C]0.074074[/C][C]0.212963[/C][C]0.740741[/C][/ROW]
[ROW][C][1.8,1.9[[/C][C]1.85[/C][C]12[/C][C]0.111111[/C][C]0.324074[/C][C]1.111111[/C][/ROW]
[ROW][C][1.9,2[[/C][C]1.95[/C][C]6[/C][C]0.055556[/C][C]0.37963[/C][C]0.555556[/C][/ROW]
[ROW][C][2,2.1[[/C][C]2.05[/C][C]14[/C][C]0.12963[/C][C]0.509259[/C][C]1.296296[/C][/ROW]
[ROW][C][2.1,2.2[[/C][C]2.15[/C][C]13[/C][C]0.12037[/C][C]0.62963[/C][C]1.203704[/C][/ROW]
[ROW][C][2.2,2.3[[/C][C]2.25[/C][C]7[/C][C]0.064815[/C][C]0.694444[/C][C]0.648148[/C][/ROW]
[ROW][C][2.3,2.4[[/C][C]2.35[/C][C]10[/C][C]0.092593[/C][C]0.787037[/C][C]0.925926[/C][/ROW]
[ROW][C][2.4,2.5[[/C][C]2.45[/C][C]13[/C][C]0.12037[/C][C]0.907407[/C][C]1.203704[/C][/ROW]
[ROW][C][2.5,2.6[[/C][C]2.55[/C][C]5[/C][C]0.046296[/C][C]0.953704[/C][C]0.462963[/C][/ROW]
[ROW][C][2.6,2.7][/C][C]2.65[/C][C]5[/C][C]0.046296[/C][C]1[/C][C]0.462963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44959&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44959&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
[1.4,1.5[1.4520.0185190.0185190.185185
[1.5,1.6[1.5560.0555560.0740740.555556
[1.6,1.7[1.6570.0648150.1388890.648148
[1.7,1.8[1.7580.0740740.2129630.740741
[1.8,1.9[1.85120.1111110.3240741.111111
[1.9,2[1.9560.0555560.379630.555556
[2,2.1[2.05140.129630.5092591.296296
[2.1,2.2[2.15130.120370.629631.203704
[2.2,2.3[2.2570.0648150.6944440.648148
[2.3,2.4[2.35100.0925930.7870370.925926
[2.4,2.5[2.45130.120370.9074071.203704
[2.5,2.6[2.5550.0462960.9537040.462963
[2.6,2.7]2.6550.04629610.462963



Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')