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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 11 Dec 2018 14:17:05 +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/2018/Dec/11/t1544534266uu04544nrsdn0v4.htm/, Retrieved Mon, 06 May 2024 19:40:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315849, Retrieved Mon, 06 May 2024 19:40:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
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Estimated Impact97

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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4
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0
6
6
-1
-1
12
12
-4
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13
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3
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6
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10
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9
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2
3
3
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8
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7
7
4
4
-3
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0
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10
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11
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11
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11
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7
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31
31
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10
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10
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7
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5
6
6
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11
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7
7
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1
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2
2
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-1
-2
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1
1
-3
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1
1
6
6
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5
5
1
1
1
3
3
1
5
5
4
4
7
7
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18
18
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1
2
2
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-1
-1
-2
-2
1
1
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-3
1
1
6
6
-13
-13
5
5
1
1
1
3
3
1
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6
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0
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11
11
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3
3
4
4
0
-2
-2
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2
2
-4
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1
1
6
6
3
3
3
3
-19
-19
12
12
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10
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25
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1
9
9
1
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5
5
1
1
1
1
2
2
9
9
3
3
5
5
-6
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15
15
1
7
7
2
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16
16
0
0
-2
-2
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6
6
-11
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4
3
3
4
1
1
7
7
-1
-1
-5
-5
-6
-6
7
7
-3
-3
12
12
5
5
-7
8
8
-7

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315849&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]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315849&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 time2 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-60,-50[-5520.0019840.0019840.000198
[-50,-40[-45000.0019840
[-40,-30[-35000.0019840
[-30,-20[-25000.0019840
[-20,-10[-15100.0099210.0119050.000992
[-10,0[-52780.2757940.2876980.027579
[0,10[56540.648810.9365080.064881
[10,20[15540.0535710.9900790.005357
[20,30[2580.0079370.9980160.000794
[30,40]3520.00198410.000198

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-60,-50[ & -55 & 2 & 0.001984 & 0.001984 & 0.000198 \tabularnewline
[-50,-40[ & -45 & 0 & 0 & 0.001984 & 0 \tabularnewline
[-40,-30[ & -35 & 0 & 0 & 0.001984 & 0 \tabularnewline
[-30,-20[ & -25 & 0 & 0 & 0.001984 & 0 \tabularnewline
[-20,-10[ & -15 & 10 & 0.009921 & 0.011905 & 0.000992 \tabularnewline
[-10,0[ & -5 & 278 & 0.275794 & 0.287698 & 0.027579 \tabularnewline
[0,10[ & 5 & 654 & 0.64881 & 0.936508 & 0.064881 \tabularnewline
[10,20[ & 15 & 54 & 0.053571 & 0.990079 & 0.005357 \tabularnewline
[20,30[ & 25 & 8 & 0.007937 & 0.998016 & 0.000794 \tabularnewline
[30,40] & 35 & 2 & 0.001984 & 1 & 0.000198 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315849&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,-50[[/C][C]-55[/C][C]2[/C][C]0.001984[/C][C]0.001984[/C][C]0.000198[/C][/ROW]
[ROW][C][-50,-40[[/C][C]-45[/C][C]0[/C][C]0[/C][C]0.001984[/C][C]0[/C][/ROW]
[ROW][C][-40,-30[[/C][C]-35[/C][C]0[/C][C]0[/C][C]0.001984[/C][C]0[/C][/ROW]
[ROW][C][-30,-20[[/C][C]-25[/C][C]0[/C][C]0[/C][C]0.001984[/C][C]0[/C][/ROW]
[ROW][C][-20,-10[[/C][C]-15[/C][C]10[/C][C]0.009921[/C][C]0.011905[/C][C]0.000992[/C][/ROW]
[ROW][C][-10,0[[/C][C]-5[/C][C]278[/C][C]0.275794[/C][C]0.287698[/C][C]0.027579[/C][/ROW]
[ROW][C][0,10[[/C][C]5[/C][C]654[/C][C]0.64881[/C][C]0.936508[/C][C]0.064881[/C][/ROW]
[ROW][C][10,20[[/C][C]15[/C][C]54[/C][C]0.053571[/C][C]0.990079[/C][C]0.005357[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]8[/C][C]0.007937[/C][C]0.998016[/C][C]0.000794[/C][/ROW]
[ROW][C][30,40][/C][C]35[/C][C]2[/C][C]0.001984[/C][C]1[/C][C]0.000198[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315849&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
[-60,-50[-5520.0019840.0019840.000198
[-50,-40[-45000.0019840
[-40,-30[-35000.0019840
[-30,-20[-25000.0019840
[-20,-10[-15100.0099210.0119050.000992
[-10,0[-52780.2757940.2876980.027579
[0,10[56540.648810.9365080.064881
[10,20[15540.0535710.9900790.005357
[20,30[2580.0079370.9980160.000794
[30,40]3520.00198410.000198


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')
}