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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 computationThu, 30 Jan 2020 05:24:17 +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/2020/Jan/30/t1580358403xzl0mj0639xihx2.htm/, Retrieved Fri, 26 Apr 2024 02:02:01 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 26 Apr 2024 02:02:01 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0
0
0
0.2
0.9
10.3
1
2.8


















0
0
0
0
4.6
0
0
0
0
0
0.8
0.3
0
0
5.6
0
0
0
0.9
0
0
2.3
1.4
0
0
0
0
0
0
0
0
2.9
1
0
0
0
0
0.5
1.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0.6
0
0
0
0
0
0
4.2
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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] [ROW]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,1[0.5880.880.880.88
[1,2[1.550.050.930.05
[2,3[2.530.030.960.03
[3,4[3.5000.960
[4,5[4.520.020.980.02
[5,6[5.510.010.990.01
[6,7[6.5000.990
[7,8[7.5000.990
[8,9[8.5000.990
[9,10[9.5000.990
[10,11]10.510.0110.01

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,1[ & 0.5 & 88 & 0.88 & 0.88 & 0.88 \tabularnewline
[1,2[ & 1.5 & 5 & 0.05 & 0.93 & 0.05 \tabularnewline
[2,3[ & 2.5 & 3 & 0.03 & 0.96 & 0.03 \tabularnewline
[3,4[ & 3.5 & 0 & 0 & 0.96 & 0 \tabularnewline
[4,5[ & 4.5 & 2 & 0.02 & 0.98 & 0.02 \tabularnewline
[5,6[ & 5.5 & 1 & 0.01 & 0.99 & 0.01 \tabularnewline
[6,7[ & 6.5 & 0 & 0 & 0.99 & 0 \tabularnewline
[7,8[ & 7.5 & 0 & 0 & 0.99 & 0 \tabularnewline
[8,9[ & 8.5 & 0 & 0 & 0.99 & 0 \tabularnewline
[9,10[ & 9.5 & 0 & 0 & 0.99 & 0 \tabularnewline
[10,11] & 10.5 & 1 & 0.01 & 1 & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][0,1[[/C][C]0.5[/C][C]88[/C][C]0.88[/C][C]0.88[/C][C]0.88[/C][/ROW]
[ROW][C][1,2[[/C][C]1.5[/C][C]5[/C][C]0.05[/C][C]0.93[/C][C]0.05[/C][/ROW]
[ROW][C][2,3[[/C][C]2.5[/C][C]3[/C][C]0.03[/C][C]0.96[/C][C]0.03[/C][/ROW]
[ROW][C][3,4[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.96[/C][C]0[/C][/ROW]
[ROW][C][4,5[[/C][C]4.5[/C][C]2[/C][C]0.02[/C][C]0.98[/C][C]0.02[/C][/ROW]
[ROW][C][5,6[[/C][C]5.5[/C][C]1[/C][C]0.01[/C][C]0.99[/C][C]0.01[/C][/ROW]
[ROW][C][6,7[[/C][C]6.5[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][7,8[[/C][C]7.5[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][8,9[[/C][C]8.5[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][9,10[[/C][C]9.5[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][10,11][/C][C]10.5[/C][C]1[/C][C]0.01[/C][C]1[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[0,1[0.5880.880.880.88
[1,2[1.550.050.930.05
[2,3[2.530.030.960.03
[3,4[3.5000.960
[4,5[4.520.020.980.02
[5,6[5.510.010.990.01
[6,7[6.5000.990
[7,8[7.5000.990
[8,9[8.5000.990
[9,10[9.5000.990
[10,11]10.510.0110.01


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = N/A ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = N/A ; 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')
}