Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 14 Dec 2012 07:06:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/14/t1355486781a8edl5zxwdjifv4.htm/, Retrieved Thu, 28 Mar 2024 14:33:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199511, Retrieved Thu, 28 Mar 2024 14:33:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Univariate Data Series] [Identifying Integ...] [2009-11-22 12:08:06] [b98453cac15ba1066b407e146608df68]
- RMP         [Standard Deviation-Mean Plot] [Births] [2010-11-29 10:52:49] [b98453cac15ba1066b407e146608df68]
- RMP           [ARIMA Backward Selection] [Births] [2010-11-29 17:47:06] [b98453cac15ba1066b407e146608df68]
-   P             [ARIMA Backward Selection] [ARIMA model d=1,D...] [2012-11-22 09:43:52] [0dc867bfbaab36a894719867823e3cb9]
- RMPD                [Histogram] [Histogram] [2012-12-14 12:06:03] [447cab31e466d1c88f957d20e303ed40] [Current]
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Dataseries X:
NA
NA
NA
19
NA
NA
25
NA
NA
NA
17
22
NA
NA
NA
21
NA
26
20
NA
14
NA
NA
23
NA
NA
NA
NA
20
NA
22
NA
NA
15
20
22
NA
20
28
NA
NA
NA
NA
25
26
NA
17
23
NA
13
NA
NA
NA
NA
24
NA
NA
NA
14
22
NA
NA
NA
23
NA
22
24
21
NA
NA
NA
23
22
NA
NA
NA
NA
21
26
15
25
NA
NA
NA
17
25
NA
NA
NA
NA
NA
27
NA
NA
NA
NA
25
NA
19
26
NA
20
NA
NA
20
NA
18
NA
NA
NA
NA
NA
NA
NA
NA
18
NA
NA
19
NA
NA
NA
NA
NA
NA
23
NA
NA
17
23
NA
23
11
18
24
NA
NA
16
24
NA
NA
NA
NA
24
NA
NA
21
25
22
21
NA
NA
NA
24
24
21
NA
NA
NA
NA
18
NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199511&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199511&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199511&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,12]1110.0061730.0061730.007937
]12,14]1330.0185190.0246910.02381
]14,16]1530.0185190.043210.02381
]16,18]1780.0493830.0925930.063492
]18,20]1990.0555560.1481480.071429
]20,22]21130.0802470.2283950.103175
]22,24]23140.086420.3148150.111111
]24,26]25100.0617280.3765430.079365
]26,28]2720.0123460.3888890.015873

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,12] & 11 & 1 & 0.006173 & 0.006173 & 0.007937 \tabularnewline
]12,14] & 13 & 3 & 0.018519 & 0.024691 & 0.02381 \tabularnewline
]14,16] & 15 & 3 & 0.018519 & 0.04321 & 0.02381 \tabularnewline
]16,18] & 17 & 8 & 0.049383 & 0.092593 & 0.063492 \tabularnewline
]18,20] & 19 & 9 & 0.055556 & 0.148148 & 0.071429 \tabularnewline
]20,22] & 21 & 13 & 0.080247 & 0.228395 & 0.103175 \tabularnewline
]22,24] & 23 & 14 & 0.08642 & 0.314815 & 0.111111 \tabularnewline
]24,26] & 25 & 10 & 0.061728 & 0.376543 & 0.079365 \tabularnewline
]26,28] & 27 & 2 & 0.012346 & 0.388889 & 0.015873 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199511&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][10,12][/C][C]11[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.007937[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]3[/C][C]0.018519[/C][C]0.024691[/C][C]0.02381[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]3[/C][C]0.018519[/C][C]0.04321[/C][C]0.02381[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]8[/C][C]0.049383[/C][C]0.092593[/C][C]0.063492[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]9[/C][C]0.055556[/C][C]0.148148[/C][C]0.071429[/C][/ROW]
[ROW][C]]20,22][/C][C]21[/C][C]13[/C][C]0.080247[/C][C]0.228395[/C][C]0.103175[/C][/ROW]
[ROW][C]]22,24][/C][C]23[/C][C]14[/C][C]0.08642[/C][C]0.314815[/C][C]0.111111[/C][/ROW]
[ROW][C]]24,26][/C][C]25[/C][C]10[/C][C]0.061728[/C][C]0.376543[/C][C]0.079365[/C][/ROW]
[ROW][C]]26,28][/C][C]27[/C][C]2[/C][C]0.012346[/C][C]0.388889[/C][C]0.015873[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199511&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199511&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
[10,12]1110.0061730.0061730.007937
]12,14]1330.0185190.0246910.02381
]14,16]1530.0185190.043210.02381
]16,18]1780.0493830.0925930.063492
]18,20]1990.0555560.1481480.071429
]20,22]21130.0802470.2283950.103175
]22,24]23140.086420.3148150.111111
]24,26]25100.0617280.3765430.079365
]26,28]2720.0123460.3888890.015873



Parameters (Session):
par2 = grey ; par3 = TRUE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'TRUE'
par2 <- 'grey'
par1 <- ''
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')
}