Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 27 Oct 2014 16:52:19 +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/Oct/27/t1414430227jj2immn045czgx6.htm/, Retrieved Thu, 31 Oct 2024 23:39:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=247383, Retrieved Thu, 31 Oct 2024 23:39:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Care Age 10 Data] [2009-10-26 09:01:50] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Boxplot and Trimmed Means] [Care Age 7 Data] [2009-10-26 18:36:29] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P     [CARE Data - Boxplots and Scatterplot Matrix] [CARE Data] [2010-10-19 14:16:27] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [CARE Data - Boxplots and Scatterplot Matrix] [CARE data - works...] [2011-10-17 10:23:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMP         [Boxplot and Trimmed Means] [CARE Study Age 7 ] [2013-10-17 12:59:45] [34296d8f7657c52ed60d5bff9133afec]
- RMPD            [Histogram] [AKN] [2014-10-27 16:52:19] [179cc397bc7ba643a7ca8fd40ad387b9] [Current]
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Dataseries X:
83
102
75
92
94
88
77
63
73
85
80
77
67
98
89
63
97
77
96
84
94
70
100
88
97
78
108
81
96
84
104
87
98
89
93
89
63
84
82
105
70
94
101
83
88
69
94
82
82
109
86
99
82
114
99
91
81
102
101
72
91
83
102
103
93
88
110
100
88
119
98
90
69
98
98
81
93
91
86
95
87
63
89
108
99
90
91
82
119
97
108
101
96
97
69
89
84
79
103
92
104
102
106
93
108
119
102
83
92
119
100
97
103
95
73
86
88
102
87
100
88
100
79
90
83
95
89
64
108
80
83
96
108
86
88
97
110
102
92
91
92
72
88
99
95
83
68
101
91
89
98
89
98
97
98
113
83
92
113
103
96
94




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=247383&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=247383&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247383&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'George Udny Yule' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,65[62.550.0308640.0308640.006173
[65,70[67.550.0308640.0617280.006173
[70,75[72.560.0370370.0987650.007407
[75,80[77.570.043210.1419750.008642
[80,85[82.5220.1358020.2777780.02716
[85,90[87.5250.1543210.4320990.030864
[90,95[92.5240.1481480.5802470.02963
[95,100[97.5280.172840.7530860.034568
[100,105[102.5220.1358020.8888890.02716
[105,110[107.590.0555560.9444440.011111
[110,115[112.550.0308640.9753090.006173
[115,120]117.540.02469110.004938

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,65[ & 62.5 & 5 & 0.030864 & 0.030864 & 0.006173 \tabularnewline
[65,70[ & 67.5 & 5 & 0.030864 & 0.061728 & 0.006173 \tabularnewline
[70,75[ & 72.5 & 6 & 0.037037 & 0.098765 & 0.007407 \tabularnewline
[75,80[ & 77.5 & 7 & 0.04321 & 0.141975 & 0.008642 \tabularnewline
[80,85[ & 82.5 & 22 & 0.135802 & 0.277778 & 0.02716 \tabularnewline
[85,90[ & 87.5 & 25 & 0.154321 & 0.432099 & 0.030864 \tabularnewline
[90,95[ & 92.5 & 24 & 0.148148 & 0.580247 & 0.02963 \tabularnewline
[95,100[ & 97.5 & 28 & 0.17284 & 0.753086 & 0.034568 \tabularnewline
[100,105[ & 102.5 & 22 & 0.135802 & 0.888889 & 0.02716 \tabularnewline
[105,110[ & 107.5 & 9 & 0.055556 & 0.944444 & 0.011111 \tabularnewline
[110,115[ & 112.5 & 5 & 0.030864 & 0.975309 & 0.006173 \tabularnewline
[115,120] & 117.5 & 4 & 0.024691 & 1 & 0.004938 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=247383&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][60,65[[/C][C]62.5[/C][C]5[/C][C]0.030864[/C][C]0.030864[/C][C]0.006173[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]5[/C][C]0.030864[/C][C]0.061728[/C][C]0.006173[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]6[/C][C]0.037037[/C][C]0.098765[/C][C]0.007407[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]7[/C][C]0.04321[/C][C]0.141975[/C][C]0.008642[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]22[/C][C]0.135802[/C][C]0.277778[/C][C]0.02716[/C][/ROW]
[ROW][C][85,90[[/C][C]87.5[/C][C]25[/C][C]0.154321[/C][C]0.432099[/C][C]0.030864[/C][/ROW]
[ROW][C][90,95[[/C][C]92.5[/C][C]24[/C][C]0.148148[/C][C]0.580247[/C][C]0.02963[/C][/ROW]
[ROW][C][95,100[[/C][C]97.5[/C][C]28[/C][C]0.17284[/C][C]0.753086[/C][C]0.034568[/C][/ROW]
[ROW][C][100,105[[/C][C]102.5[/C][C]22[/C][C]0.135802[/C][C]0.888889[/C][C]0.02716[/C][/ROW]
[ROW][C][105,110[[/C][C]107.5[/C][C]9[/C][C]0.055556[/C][C]0.944444[/C][C]0.011111[/C][/ROW]
[ROW][C][110,115[[/C][C]112.5[/C][C]5[/C][C]0.030864[/C][C]0.975309[/C][C]0.006173[/C][/ROW]
[ROW][C][115,120][/C][C]117.5[/C][C]4[/C][C]0.024691[/C][C]1[/C][C]0.004938[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=247383&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=247383&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
[60,65[62.550.0308640.0308640.006173
[65,70[67.550.0308640.0617280.006173
[70,75[72.560.0370370.0987650.007407
[75,80[77.570.043210.1419750.008642
[80,85[82.5220.1358020.2777780.02716
[85,90[87.5250.1543210.4320990.030864
[90,95[92.5240.1481480.5802470.02963
[95,100[97.5280.172840.7530860.034568
[100,105[102.5220.1358020.8888890.02716
[105,110[107.590.0555560.9444440.011111
[110,115[112.550.0308640.9753090.006173
[115,120]117.540.02469110.004938



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')
}