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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 computationFri, 26 Jan 2024 18:46:38 +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/2024/Jan/26/t17062913478i6cnlarjnnh1kn.htm/, Retrieved Fri, 22 May 2026 14:03:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=320007, Retrieved Fri, 22 May 2026 14:03:01 +0000
QR Codes:

Original text written by user:Tarea 1.2 #12
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact277

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Fumadores Habituales] [2024-01-26 17:46:38] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5
6
10
1
10
17
11
11
18
4
5
9
12
20
11
10
0
9
10
5
4
8
11
13
10
0
14
13
8
8
5
18
13
2
12
17
11
5
75
2
10
19
16
11
5
14
6
2
64
9
0
15
6
14
13
2
5
5
9
15
3
12
4
12
5
4
2
8
9
12
16
10
11
4
5
12
4
8
17
7
18
10
8
11
5
1
2
9
19
10
20

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=320007&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=320007&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=320007&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
[0,10]5540.5934070.5934070.059341
]10,20]15350.3846150.9780220.038462
]20,30]25000.9780220
]30,40]35000.9780220
]40,50]45000.9780220
]50,60]55000.9780220
]60,70]6510.0109890.9890110.001099
]70,80]7510.01098910.001099

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10] & 5 & 54 & 0.593407 & 0.593407 & 0.059341 \tabularnewline
]10,20] & 15 & 35 & 0.384615 & 0.978022 & 0.038462 \tabularnewline
]20,30] & 25 & 0 & 0 & 0.978022 & 0 \tabularnewline
]30,40] & 35 & 0 & 0 & 0.978022 & 0 \tabularnewline
]40,50] & 45 & 0 & 0 & 0.978022 & 0 \tabularnewline
]50,60] & 55 & 0 & 0 & 0.978022 & 0 \tabularnewline
]60,70] & 65 & 1 & 0.010989 & 0.989011 & 0.001099 \tabularnewline
]70,80] & 75 & 1 & 0.010989 & 1 & 0.001099 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=320007&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][0,10][/C][C]5[/C][C]54[/C][C]0.593407[/C][C]0.593407[/C][C]0.059341[/C][/ROW]
[ROW][C]]10,20][/C][C]15[/C][C]35[/C][C]0.384615[/C][C]0.978022[/C][C]0.038462[/C][/ROW]
[ROW][C]]20,30][/C][C]25[/C][C]0[/C][C]0[/C][C]0.978022[/C][C]0[/C][/ROW]
[ROW][C]]30,40][/C][C]35[/C][C]0[/C][C]0[/C][C]0.978022[/C][C]0[/C][/ROW]
[ROW][C]]40,50][/C][C]45[/C][C]0[/C][C]0[/C][C]0.978022[/C][C]0[/C][/ROW]
[ROW][C]]50,60][/C][C]55[/C][C]0[/C][C]0[/C][C]0.978022[/C][C]0[/C][/ROW]
[ROW][C]]60,70][/C][C]65[/C][C]1[/C][C]0.010989[/C][C]0.989011[/C][C]0.001099[/C][/ROW]
[ROW][C]]70,80][/C][C]75[/C][C]1[/C][C]0.010989[/C][C]1[/C][C]0.001099[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=320007&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=320007&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
[0,10]5540.5934070.5934070.059341
]10,20]15350.3846150.9780220.038462
]20,30]25000.9780220
]30,40]35000.9780220
]40,50]45000.9780220
]50,60]55000.9780220
]60,70]6510.0109890.9890110.001099
]70,80]7510.01098910.001099


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = ; par2 = grey ; par3 = TRUE ; 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)
if (par4 == '11-point Likert') par1 <- c(1:11 - 0.5, 11.5)
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')
}