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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 computationTue, 08 Dec 2015 14:59:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/08/t144958709105irhb8ugal0x4o.htm/, Retrieved Thu, 16 May 2024 04:37:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285516, Retrieved Thu, 16 May 2024 04:37:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

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...] [2015-12-08 14:59:53] [c60f347c90f0c1934317ae8821a12c4f] [Current]
- RMP     [ML Fitting and QQ Plot- Normal Distribution] [Normal QQ Plot GE...] [2015-12-08 15:28:17] [63fdfea257931b39d18a853a46921a54]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
171
190
200
90
270
85
63
160
33
63
205
245
39
312
90
180
45
81
236
124
116
45
120
34
72
96
17
219
102
268
39
41
201
109
36
63
98
37
23
91
119
10
200
25
249
145
29
140
122
31
138
53
107
65
32
149
19
193
20
15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285516&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285516&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285516&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[25190.3166670.3166670.006333
[50,100[75130.2166670.5333330.004333
[100,150[125120.20.7333330.004
[150,200[17550.0833330.8166670.001667
[200,250[22580.1333330.950.002667
[250,300[27520.0333330.9833330.000667
[300,350]32510.01666710.000333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 19 & 0.316667 & 0.316667 & 0.006333 \tabularnewline
[50,100[ & 75 & 13 & 0.216667 & 0.533333 & 0.004333 \tabularnewline
[100,150[ & 125 & 12 & 0.2 & 0.733333 & 0.004 \tabularnewline
[150,200[ & 175 & 5 & 0.083333 & 0.816667 & 0.001667 \tabularnewline
[200,250[ & 225 & 8 & 0.133333 & 0.95 & 0.002667 \tabularnewline
[250,300[ & 275 & 2 & 0.033333 & 0.983333 & 0.000667 \tabularnewline
[300,350] & 325 & 1 & 0.016667 & 1 & 0.000333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285516&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][0,50[[/C][C]25[/C][C]19[/C][C]0.316667[/C][C]0.316667[/C][C]0.006333[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]13[/C][C]0.216667[/C][C]0.533333[/C][C]0.004333[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]12[/C][C]0.2[/C][C]0.733333[/C][C]0.004[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]5[/C][C]0.083333[/C][C]0.816667[/C][C]0.001667[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]8[/C][C]0.133333[/C][C]0.95[/C][C]0.002667[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]2[/C][C]0.033333[/C][C]0.983333[/C][C]0.000667[/C][/ROW]
[ROW][C][300,350][/C][C]325[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.000333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285516&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285516&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
[0,50[25190.3166670.3166670.006333
[50,100[75130.2166670.5333330.004333
[100,150[125120.20.7333330.004
[150,200[17550.0833330.8166670.001667
[200,250[22580.1333330.950.002667
[250,300[27520.0333330.9833330.000667
[300,350]32510.01666710.000333


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):
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,hyperlink('histogram.htm','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')
}