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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 computationWed, 14 Dec 2016 23:02:35 +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/14/t14817530974nxrocyeh0up537.htm/, Retrieved Fri, 01 Nov 2024 03:41:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299739, Retrieved Fri, 01 Nov 2024 03:41:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram EPSUM] [2016-12-14 22:02:35] [9b51b7a87561b0bb9c41e32c304c2265] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15
13
14
13
12
17
12
13
13
16
12
12
13
16
15
12
11
10
15
12
15
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14
15
16
16
16
13
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13
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17
14
15
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14
15
19
14
13
12
1
14
15
15
12
14
11
12
10
11
14
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15
15
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15
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12
17
15
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12
16
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15
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10
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12
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12
13
13
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12
15
13
13
11
12
16
11
13
12
17
14
15
8
13
13
15
14
13
14
12
19
15
14
14
15
13
15
14
11
17
13
9
12
13
17
14
13
16
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14
14
10
12
13
14
18
14
14
13
13
16
7
13
14
8
13
13
16
14
13
14
12
16
18
16
15
18
15
14
14
15
9
17
11
15
12
15
13
12
15
15
14
13

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299739&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=299739&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299739&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 time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2[110.0059170.0059170.002959
[2,4[3000.0059170
[4,6[5000.0059170
[6,8[710.0059170.0118340.002959
[8,10[940.0236690.0355030.011834
[10,12[11130.0769230.1124260.038462
[12,14[13600.355030.4674560.177515
[14,16[15650.3846150.8520710.192308
[16,18[17200.1183430.9704140.059172
[18,20]1950.02958610.014793

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2[ & 1 & 1 & 0.005917 & 0.005917 & 0.002959 \tabularnewline
[2,4[ & 3 & 0 & 0 & 0.005917 & 0 \tabularnewline
[4,6[ & 5 & 0 & 0 & 0.005917 & 0 \tabularnewline
[6,8[ & 7 & 1 & 0.005917 & 0.011834 & 0.002959 \tabularnewline
[8,10[ & 9 & 4 & 0.023669 & 0.035503 & 0.011834 \tabularnewline
[10,12[ & 11 & 13 & 0.076923 & 0.112426 & 0.038462 \tabularnewline
[12,14[ & 13 & 60 & 0.35503 & 0.467456 & 0.177515 \tabularnewline
[14,16[ & 15 & 65 & 0.384615 & 0.852071 & 0.192308 \tabularnewline
[16,18[ & 17 & 20 & 0.118343 & 0.970414 & 0.059172 \tabularnewline
[18,20] & 19 & 5 & 0.029586 & 1 & 0.014793 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299739&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][0,2[[/C][C]1[/C][C]1[/C][C]0.005917[/C][C]0.005917[/C][C]0.002959[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]0[/C][C]0[/C][C]0.005917[/C][C]0[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]0[/C][C]0[/C][C]0.005917[/C][C]0[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]1[/C][C]0.005917[/C][C]0.011834[/C][C]0.002959[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]4[/C][C]0.023669[/C][C]0.035503[/C][C]0.011834[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]13[/C][C]0.076923[/C][C]0.112426[/C][C]0.038462[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]60[/C][C]0.35503[/C][C]0.467456[/C][C]0.177515[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]65[/C][C]0.384615[/C][C]0.852071[/C][C]0.192308[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]20[/C][C]0.118343[/C][C]0.970414[/C][C]0.059172[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]5[/C][C]0.029586[/C][C]1[/C][C]0.014793[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299739&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299739&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
[0,2[110.0059170.0059170.002959
[2,4[3000.0059170
[4,6[5000.0059170
[6,8[710.0059170.0118340.002959
[8,10[940.0236690.0355030.011834
[10,12[11130.0769230.1124260.038462
[12,14[13600.355030.4674560.177515
[14,16[15650.3846150.8520710.192308
[16,18[17200.1183430.9704140.059172
[18,20]1950.02958610.014793


Figures (Output of Computation)

Input Parameters & R Code

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):
par4 <- 'Unknown'
par3 <- 'FALSE'
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 {
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')
}