FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 14 Dec 2017 14:20:15 +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/2017/Dec/14/t1513257688lxnqtvw8hdw1r4l.htm/, Retrieved Tue, 14 May 2024 22:24:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309500, Retrieved Tue, 14 May 2024 22:24:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram & Frequ...] [2017-12-14 13:20:15] [28da80bef000008dbbf38143ad125f81] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68
34
59
94
30
33
37
49
53
18
51
20
40
23
41
46
36
22
40
47
36
44
32
31
58
41
41
28
35
24
52
53
46
22
31
29
37
36
39
45
27
55
37
34
30
40
30
41
60
30
38
42
61
63
50
39
40
55
42
41
68
74
73
31
53
59
39
29
47
39
28
50
52
36

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=309500&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=309500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309500&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
[10,20[1510.0135140.0135140.001351
[20,30[25100.1351350.1486490.013514
[30,40[35240.3243240.4729730.032432
[40,50[45180.2432430.7162160.024324
[50,60[55130.1756760.8918920.017568
[60,70[6550.0675680.9594590.006757
[70,80[7520.0270270.9864860.002703
[80,90[85000.9864860
[90,100]9510.01351410.001351

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,20[ & 15 & 1 & 0.013514 & 0.013514 & 0.001351 \tabularnewline
[20,30[ & 25 & 10 & 0.135135 & 0.148649 & 0.013514 \tabularnewline
[30,40[ & 35 & 24 & 0.324324 & 0.472973 & 0.032432 \tabularnewline
[40,50[ & 45 & 18 & 0.243243 & 0.716216 & 0.024324 \tabularnewline
[50,60[ & 55 & 13 & 0.175676 & 0.891892 & 0.017568 \tabularnewline
[60,70[ & 65 & 5 & 0.067568 & 0.959459 & 0.006757 \tabularnewline
[70,80[ & 75 & 2 & 0.027027 & 0.986486 & 0.002703 \tabularnewline
[80,90[ & 85 & 0 & 0 & 0.986486 & 0 \tabularnewline
[90,100] & 95 & 1 & 0.013514 & 1 & 0.001351 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309500&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][10,20[[/C][C]15[/C][C]1[/C][C]0.013514[/C][C]0.013514[/C][C]0.001351[/C][/ROW]
[ROW][C][20,30[[/C][C]25[/C][C]10[/C][C]0.135135[/C][C]0.148649[/C][C]0.013514[/C][/ROW]
[ROW][C][30,40[[/C][C]35[/C][C]24[/C][C]0.324324[/C][C]0.472973[/C][C]0.032432[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]18[/C][C]0.243243[/C][C]0.716216[/C][C]0.024324[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]13[/C][C]0.175676[/C][C]0.891892[/C][C]0.017568[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]5[/C][C]0.067568[/C][C]0.959459[/C][C]0.006757[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]2[/C][C]0.027027[/C][C]0.986486[/C][C]0.002703[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]0[/C][C]0[/C][C]0.986486[/C][C]0[/C][/ROW]
[ROW][C][90,100][/C][C]95[/C][C]1[/C][C]0.013514[/C][C]1[/C][C]0.001351[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309500&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
[10,20[1510.0135140.0135140.001351
[20,30[25100.1351350.1486490.013514
[30,40[35240.3243240.4729730.032432
[40,50[45180.2432430.7162160.024324
[50,60[55130.1756760.8918920.017568
[60,70[6550.0675680.9594590.006757
[70,80[7520.0270270.9864860.002703
[80,90[85000.9864860
[90,100]9510.01351410.001351


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')
}