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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 12 Dec 2016 14:23:50 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/12/t14815490930skyex8okuawd0p.htm/, Retrieved Fri, 03 May 2024 20:18:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298896, Retrieved Fri, 03 May 2024 20:18:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram] [2016-12-12 13:23:50] [11b61e09f442d73f657668491c17a736] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10
15
13
13
11
15
12
15
14
12
15
NA
15
14
11
11
15
NA
12
11
12
8
14
14
14
12
14
13
14
14
NA
14
15
3
14
13
12
12
14
13
12
13
NA
15
15
5
9
11
12
NA
14
15
12
13
15
12
14
12
12
10
11
13
13
13
13
12
10
12
10
13
11
15
9
10
14
10
15
13
10
13
15
12
11
13
15
11
14
14
15
13
12
12
15
12
15
14
14
12
15
15
9
14
15
15
NA
13
12
12
15
14
10
11
10
13
11
14
13
13
15
13
11
11
14
15
13
13
13
13
11
14
14
13
15
12
12
12
13
7
12
14
15
15
12
13
13
13
14
15
13
14
12
13
9
11
13
13
11
10
15
14
13
13
15
14
15
14
12
13
11

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298896&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298896&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3,4[3.510.0059170.0059170.006135
[4,5[4.5000.0059170
[5,6[5.510.0059170.0118340.006135
[6,7[6.5000.0118340
[7,8[7.510.0059170.0177510.006135
[8,9[8.510.0059170.0236690.006135
[9,10[9.540.0236690.0473370.02454
[10,11[10.5100.0591720.1065090.06135
[11,12[11.5170.1005920.2071010.104294
[12,13[12.5290.1715980.3786980.177914
[13,14[13.5370.2189350.5976330.226994
[14,15]14.5620.3668640.9644970.380368

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3,4[ & 3.5 & 1 & 0.005917 & 0.005917 & 0.006135 \tabularnewline
[4,5[ & 4.5 & 0 & 0 & 0.005917 & 0 \tabularnewline
[5,6[ & 5.5 & 1 & 0.005917 & 0.011834 & 0.006135 \tabularnewline
[6,7[ & 6.5 & 0 & 0 & 0.011834 & 0 \tabularnewline
[7,8[ & 7.5 & 1 & 0.005917 & 0.017751 & 0.006135 \tabularnewline
[8,9[ & 8.5 & 1 & 0.005917 & 0.023669 & 0.006135 \tabularnewline
[9,10[ & 9.5 & 4 & 0.023669 & 0.047337 & 0.02454 \tabularnewline
[10,11[ & 10.5 & 10 & 0.059172 & 0.106509 & 0.06135 \tabularnewline
[11,12[ & 11.5 & 17 & 0.100592 & 0.207101 & 0.104294 \tabularnewline
[12,13[ & 12.5 & 29 & 0.171598 & 0.378698 & 0.177914 \tabularnewline
[13,14[ & 13.5 & 37 & 0.218935 & 0.597633 & 0.226994 \tabularnewline
[14,15] & 14.5 & 62 & 0.366864 & 0.964497 & 0.380368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298896&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][3,4[[/C][C]3.5[/C][C]1[/C][C]0.005917[/C][C]0.005917[/C][C]0.006135[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]0[/C][C]0[/C][C]0.005917[/C][C]0[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]1[/C][C]0.005917[/C][C]0.011834[/C][C]0.006135[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]0[/C][C]0[/C][C]0.011834[/C][C]0[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]1[/C][C]0.005917[/C][C]0.017751[/C][C]0.006135[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]1[/C][C]0.005917[/C][C]0.023669[/C][C]0.006135[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]4[/C][C]0.023669[/C][C]0.047337[/C][C]0.02454[/C][/ROW]
[ROW][C][10,11[[/C][C]10.5[/C][C]10[/C][C]0.059172[/C][C]0.106509[/C][C]0.06135[/C][/ROW]
[ROW][C][11,12[[/C][C]11.5[/C][C]17[/C][C]0.100592[/C][C]0.207101[/C][C]0.104294[/C][/ROW]
[ROW][C][12,13[[/C][C]12.5[/C][C]29[/C][C]0.171598[/C][C]0.378698[/C][C]0.177914[/C][/ROW]
[ROW][C][13,14[[/C][C]13.5[/C][C]37[/C][C]0.218935[/C][C]0.597633[/C][C]0.226994[/C][/ROW]
[ROW][C][14,15][/C][C]14.5[/C][C]62[/C][C]0.366864[/C][C]0.964497[/C][C]0.380368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298896&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3,4[3.510.0059170.0059170.006135
[4,5[4.5000.0059170
[5,6[5.510.0059170.0118340.006135
[6,7[6.5000.0118340
[7,8[7.510.0059170.0177510.006135
[8,9[8.510.0059170.0236690.006135
[9,10[9.540.0236690.0473370.02454
[10,11[10.5100.0591720.1065090.06135
[11,12[11.5170.1005920.2071010.104294
[12,13[12.5290.1715980.3786980.177914
[13,14[13.5370.2189350.5976330.226994
[14,15]14.5620.3668640.9644970.380368


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = 0 ; par5 = 0 ;
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 {
barplot(mytab <- sort(table(x),T),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,'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')
}