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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 computationThu, 20 Sep 2012 16:36:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Sep/20/t134817351477eh7fh390um4n3.htm/, Retrieved Sun, 28 Apr 2024 18:41:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169678, Retrieved Sun, 28 Apr 2024 18:41:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentietabel D...] [2012-09-20 20:36:59] [9d92d36406b2ee4acc3cde4f460eef78] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16
15
81
35
36
746
454
756
873
377
339
165
393
304
186
137
58
315
185
539
275
121
59
80
77
255
166
93
296
992
352
584
418
711
195
65
77
46
32
139
55
28
135
59
28
158
24
63
22
44
27
101
26
252
35
16
18
13
40
380
130
244
21
287
215
274
313
116
112
54
66
84
62
56
46
33
386
428
343
573

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169678&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169678&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169678&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'Gertrude Mary Cox' @ cox.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,100[50370.46250.46250.004625
[100,200[150140.1750.63750.00175
[200,300[25080.10.73750.001
[300,400[350100.1250.86250.00125
[400,500[45030.03750.90.000375
[500,600[55030.03750.93750.000375
[600,700[650000.93750
[700,800[75030.03750.9750.000375
[800,900[85010.01250.98750.000125
[900,1000]95010.012510.000125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100[ & 50 & 37 & 0.4625 & 0.4625 & 0.004625 \tabularnewline
[100,200[ & 150 & 14 & 0.175 & 0.6375 & 0.00175 \tabularnewline
[200,300[ & 250 & 8 & 0.1 & 0.7375 & 0.001 \tabularnewline
[300,400[ & 350 & 10 & 0.125 & 0.8625 & 0.00125 \tabularnewline
[400,500[ & 450 & 3 & 0.0375 & 0.9 & 0.000375 \tabularnewline
[500,600[ & 550 & 3 & 0.0375 & 0.9375 & 0.000375 \tabularnewline
[600,700[ & 650 & 0 & 0 & 0.9375 & 0 \tabularnewline
[700,800[ & 750 & 3 & 0.0375 & 0.975 & 0.000375 \tabularnewline
[800,900[ & 850 & 1 & 0.0125 & 0.9875 & 0.000125 \tabularnewline
[900,1000] & 950 & 1 & 0.0125 & 1 & 0.000125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169678&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][0,100[[/C][C]50[/C][C]37[/C][C]0.4625[/C][C]0.4625[/C][C]0.004625[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]14[/C][C]0.175[/C][C]0.6375[/C][C]0.00175[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]8[/C][C]0.1[/C][C]0.7375[/C][C]0.001[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]10[/C][C]0.125[/C][C]0.8625[/C][C]0.00125[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]3[/C][C]0.0375[/C][C]0.9[/C][C]0.000375[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]3[/C][C]0.0375[/C][C]0.9375[/C][C]0.000375[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]0[/C][C]0[/C][C]0.9375[/C][C]0[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]3[/C][C]0.0375[/C][C]0.975[/C][C]0.000375[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]1[/C][C]0.0125[/C][C]0.9875[/C][C]0.000125[/C][/ROW]
[ROW][C][900,1000][/C][C]950[/C][C]1[/C][C]0.0125[/C][C]1[/C][C]0.000125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169678&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169678&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
[0,100[50370.46250.46250.004625
[100,200[150140.1750.63750.00175
[200,300[25080.10.73750.001
[300,400[350100.1250.86250.00125
[400,500[45030.03750.90.000375
[500,600[55030.03750.93750.000375
[600,700[650000.93750
[700,800[75030.03750.9750.000375
[800,900[85010.01250.98750.000125
[900,1000]95010.012510.000125


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 {
plot(mytab <- table(x),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')
}