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 computationTue, 18 Dec 2012 05:20:33 -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/18/t13558260478uqyie1p7gq6qut.htm/, Retrieved Fri, 29 Mar 2024 05:30:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=201322, Retrieved Fri, 29 Mar 2024 05:30:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram van I1M] [2012-12-04 14:30:37] [aa97672bca82024903c7d587f1b28e35]
-    D    [Histogram] [E2M] [2012-12-18 10:20:33] [ed3634b20a751c26d6f63bd3797fea52] [Current]
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Dataseries X:
17
17
18
NA
20
28
NA
22
16
18
NA
NA
14
11
27
NA
22
NA
NA
23
NA
24
14
NA
23
24
24
8
NA
23
NA
21
24
NA
NA
NA
25
NA
NA
23
21
21
26
NA
NA
18
NA
NA
17
NA
15
13
26
16
NA
21
20
14
NA
NA
20
22
20
NA
18
NA
NA
NA
24
20
19
NA
NA
23
26
22
20
NA
NA
NA
NA
13
NA
22
NA
NA
22
20
6
21
20
NA
23
20
24
22
NA
18
NA
NA
23
NA
21
24
NA
21
NA
20
11
22
27
25
18
20
24
NA
27
21
NA
18
15
24
22
14
28
NA
26
17
NA
NA
18
NA
NA
NA
NA
11
26
NA
NA
23
15
22
26
NA
20
18
NA
NA
NA
NA
19
23
24
NA
NA
NA
23
27
23
18
NA
16




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=201322&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=201322&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201322&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
[6,8[710.0061730.0061730.005102
[8,10[910.0061730.0123460.005102
[10,12[1130.0185190.0308640.015306
[12,14[1320.0123460.043210.010204
[14,16[1570.043210.086420.035714
[16,18[1770.043210.129630.035714
[18,20[19120.0740740.2037040.061224
[20,22[21200.1234570.327160.102041
[22,24[23210.129630.456790.107143
[24,26[25120.0740740.5308640.061224
[26,28]27120.0740740.6049380.061224

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6,8[ & 7 & 1 & 0.006173 & 0.006173 & 0.005102 \tabularnewline
[8,10[ & 9 & 1 & 0.006173 & 0.012346 & 0.005102 \tabularnewline
[10,12[ & 11 & 3 & 0.018519 & 0.030864 & 0.015306 \tabularnewline
[12,14[ & 13 & 2 & 0.012346 & 0.04321 & 0.010204 \tabularnewline
[14,16[ & 15 & 7 & 0.04321 & 0.08642 & 0.035714 \tabularnewline
[16,18[ & 17 & 7 & 0.04321 & 0.12963 & 0.035714 \tabularnewline
[18,20[ & 19 & 12 & 0.074074 & 0.203704 & 0.061224 \tabularnewline
[20,22[ & 21 & 20 & 0.123457 & 0.32716 & 0.102041 \tabularnewline
[22,24[ & 23 & 21 & 0.12963 & 0.45679 & 0.107143 \tabularnewline
[24,26[ & 25 & 12 & 0.074074 & 0.530864 & 0.061224 \tabularnewline
[26,28] & 27 & 12 & 0.074074 & 0.604938 & 0.061224 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=201322&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][6,8[[/C][C]7[/C][C]1[/C][C]0.006173[/C][C]0.006173[/C][C]0.005102[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]1[/C][C]0.006173[/C][C]0.012346[/C][C]0.005102[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]3[/C][C]0.018519[/C][C]0.030864[/C][C]0.015306[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]2[/C][C]0.012346[/C][C]0.04321[/C][C]0.010204[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]7[/C][C]0.04321[/C][C]0.08642[/C][C]0.035714[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]7[/C][C]0.04321[/C][C]0.12963[/C][C]0.035714[/C][/ROW]
[ROW][C][18,20[[/C][C]19[/C][C]12[/C][C]0.074074[/C][C]0.203704[/C][C]0.061224[/C][/ROW]
[ROW][C][20,22[[/C][C]21[/C][C]20[/C][C]0.123457[/C][C]0.32716[/C][C]0.102041[/C][/ROW]
[ROW][C][22,24[[/C][C]23[/C][C]21[/C][C]0.12963[/C][C]0.45679[/C][C]0.107143[/C][/ROW]
[ROW][C][24,26[[/C][C]25[/C][C]12[/C][C]0.074074[/C][C]0.530864[/C][C]0.061224[/C][/ROW]
[ROW][C][26,28][/C][C]27[/C][C]12[/C][C]0.074074[/C][C]0.604938[/C][C]0.061224[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=201322&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=201322&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
[6,8[710.0061730.0061730.005102
[8,10[910.0061730.0123460.005102
[10,12[1130.0185190.0308640.015306
[12,14[1320.0123460.043210.010204
[14,16[1570.043210.086420.035714
[16,18[1770.043210.129630.035714
[18,20[19120.0740740.2037040.061224
[20,22[21200.1234570.327160.102041
[22,24[23210.129630.456790.107143
[24,26[25120.0740740.5308640.061224
[26,28]27120.0740740.6049380.061224



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')
}