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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 computationSat, 10 Dec 2016 12:41:39 +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/2016/Dec/10/t14813701306kam17bpdnbqz9f.htm/, Retrieved Mon, 06 May 2024 03:29:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298662, Retrieved Mon, 06 May 2024 03:29:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram] [2016-12-10 11:41:39] [e1e79d437a44c5123ccedd8a903518e8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4730
4760
4815
4995
4960
5065
5075
5085
5095
5140
5140
5140
5365
5085
5105
5200
5205
5160
5140
5150
5210
5205
5200
5095
5140
5165
5190
5050
5055
4985
4995
5010
5010
5020
5170
5155
5155
5150
5130
5170
5180
5175
5185
5200
5205
5210
5195
5195
5210
5205
5235
5235
5205
5195
5200
5165
5170
5255
5240
5265
5275
5285
5320
5335
5335
5325
5355
5375
5445
5415
5415
5450
5535
5570
5590
5575
5575
5595
5650
5680
5665
5675
5700
5700
5710
5745
5745
5765
5740
5725
5765
5900
5900
5900
5890
5935
5945
6000
6000
5995
6065
6065
6065
6075
6070
6085
6095
6095
6065
6115
6190
6200
6205
6210
6230
6235
6235
6235
6225
6225
6255
6310
6305
6320
6320
6330

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=298662&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=298662&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298662&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
[4600,4800[470020.0158730.0158737.9e-05
[4800,5000[490050.0396830.0555560.000198
[5000,5200[5100350.2777780.3333330.001389
[5200,5400[5300260.2063490.5396830.001032
[5400,5600[5500100.0793650.6190480.000397
[5600,5800[5700130.1031750.7222220.000516
[5800,6000[590070.0555560.7777780.000278
[6000,6200[6100130.1031750.8809520.000516
[6200,6400]6300150.11904810.000595

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4600,4800[ & 4700 & 2 & 0.015873 & 0.015873 & 7.9e-05 \tabularnewline
[4800,5000[ & 4900 & 5 & 0.039683 & 0.055556 & 0.000198 \tabularnewline
[5000,5200[ & 5100 & 35 & 0.277778 & 0.333333 & 0.001389 \tabularnewline
[5200,5400[ & 5300 & 26 & 0.206349 & 0.539683 & 0.001032 \tabularnewline
[5400,5600[ & 5500 & 10 & 0.079365 & 0.619048 & 0.000397 \tabularnewline
[5600,5800[ & 5700 & 13 & 0.103175 & 0.722222 & 0.000516 \tabularnewline
[5800,6000[ & 5900 & 7 & 0.055556 & 0.777778 & 0.000278 \tabularnewline
[6000,6200[ & 6100 & 13 & 0.103175 & 0.880952 & 0.000516 \tabularnewline
[6200,6400] & 6300 & 15 & 0.119048 & 1 & 0.000595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298662&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][4600,4800[[/C][C]4700[/C][C]2[/C][C]0.015873[/C][C]0.015873[/C][C]7.9e-05[/C][/ROW]
[ROW][C][4800,5000[[/C][C]4900[/C][C]5[/C][C]0.039683[/C][C]0.055556[/C][C]0.000198[/C][/ROW]
[ROW][C][5000,5200[[/C][C]5100[/C][C]35[/C][C]0.277778[/C][C]0.333333[/C][C]0.001389[/C][/ROW]
[ROW][C][5200,5400[[/C][C]5300[/C][C]26[/C][C]0.206349[/C][C]0.539683[/C][C]0.001032[/C][/ROW]
[ROW][C][5400,5600[[/C][C]5500[/C][C]10[/C][C]0.079365[/C][C]0.619048[/C][C]0.000397[/C][/ROW]
[ROW][C][5600,5800[[/C][C]5700[/C][C]13[/C][C]0.103175[/C][C]0.722222[/C][C]0.000516[/C][/ROW]
[ROW][C][5800,6000[[/C][C]5900[/C][C]7[/C][C]0.055556[/C][C]0.777778[/C][C]0.000278[/C][/ROW]
[ROW][C][6000,6200[[/C][C]6100[/C][C]13[/C][C]0.103175[/C][C]0.880952[/C][C]0.000516[/C][/ROW]
[ROW][C][6200,6400][/C][C]6300[/C][C]15[/C][C]0.119048[/C][C]1[/C][C]0.000595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298662&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298662&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
[4600,4800[470020.0158730.0158737.9e-05
[4800,5000[490050.0396830.0555560.000198
[5000,5200[5100350.2777780.3333330.001389
[5200,5400[5300260.2063490.5396830.001032
[5400,5600[5500100.0793650.6190480.000397
[5600,5800[5700130.1031750.7222220.000516
[5800,6000[590070.0555560.7777780.000278
[6000,6200[6100130.1031750.8809520.000516
[6200,6400]6300150.11904810.000595


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,'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')
}