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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 computationSun, 18 Dec 2016 18:07:57 +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/18/t14820808931x6sw6szkb2ib0j.htm/, Retrieved Wed, 08 May 2024 14:01:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=301186, Retrieved Wed, 08 May 2024 14:01:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [N2044 Histogram] [2016-12-18 17:07:57] [2e11ca31a00cf8de75c33c1af2d59434] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3880
3740
3990
3970
4100
3920
3850
4190
3990
4140
4080
3900
4070
3930
4210
4020
4120
4020
3910
4110
4130
4340
4200
4200
4160
3920
4280
3940
4190
4150
4070
4130
3960
4320
4110
4100
4280
3990
4360
4240
4450
4190
3950
4300
4150
4540
4240
4210
4390
4140
4460
4290
4430
4390
4340
4570
4470
4550
4420
4490
4480
4400
4770
4450
4610
4540
4520
4710
4580
4760
4450
4500
4660
4370
5030
4510
4740
4690
4580
4850
4730
4890
4740
4600
4740
4520
5000
4670
4940
4790
4820
5010
4870
5070
4770
4840
4850
4590
5050
4770
4720
4740
4400
4840
4650
4860
4580
4640
4800
4660
5020
4700
4800
4700
4560

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301186&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=301186&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301186&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 time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3600,3800[370010.0086960.0086964.3e-05
[3800,4000[3900140.1217390.1304350.000609
[4000,4200[4100200.1739130.3043480.00087
[4200,4400[4300170.1478260.4521740.000739
[4400,4600[4500240.2086960.660870.001043
[4600,4800[4700220.1913040.8521740.000957
[4800,5000[4900110.0956520.9478260.000478
[5000,5200]510060.05217410.000261

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3600,3800[ & 3700 & 1 & 0.008696 & 0.008696 & 4.3e-05 \tabularnewline
[3800,4000[ & 3900 & 14 & 0.121739 & 0.130435 & 0.000609 \tabularnewline
[4000,4200[ & 4100 & 20 & 0.173913 & 0.304348 & 0.00087 \tabularnewline
[4200,4400[ & 4300 & 17 & 0.147826 & 0.452174 & 0.000739 \tabularnewline
[4400,4600[ & 4500 & 24 & 0.208696 & 0.66087 & 0.001043 \tabularnewline
[4600,4800[ & 4700 & 22 & 0.191304 & 0.852174 & 0.000957 \tabularnewline
[4800,5000[ & 4900 & 11 & 0.095652 & 0.947826 & 0.000478 \tabularnewline
[5000,5200] & 5100 & 6 & 0.052174 & 1 & 0.000261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=301186&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][3600,3800[[/C][C]3700[/C][C]1[/C][C]0.008696[/C][C]0.008696[/C][C]4.3e-05[/C][/ROW]
[ROW][C][3800,4000[[/C][C]3900[/C][C]14[/C][C]0.121739[/C][C]0.130435[/C][C]0.000609[/C][/ROW]
[ROW][C][4000,4200[[/C][C]4100[/C][C]20[/C][C]0.173913[/C][C]0.304348[/C][C]0.00087[/C][/ROW]
[ROW][C][4200,4400[[/C][C]4300[/C][C]17[/C][C]0.147826[/C][C]0.452174[/C][C]0.000739[/C][/ROW]
[ROW][C][4400,4600[[/C][C]4500[/C][C]24[/C][C]0.208696[/C][C]0.66087[/C][C]0.001043[/C][/ROW]
[ROW][C][4600,4800[[/C][C]4700[/C][C]22[/C][C]0.191304[/C][C]0.852174[/C][C]0.000957[/C][/ROW]
[ROW][C][4800,5000[[/C][C]4900[/C][C]11[/C][C]0.095652[/C][C]0.947826[/C][C]0.000478[/C][/ROW]
[ROW][C][5000,5200][/C][C]5100[/C][C]6[/C][C]0.052174[/C][C]1[/C][C]0.000261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=301186&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=301186&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
[3600,3800[370010.0086960.0086964.3e-05
[3800,4000[3900140.1217390.1304350.000609
[4000,4200[4100200.1739130.3043480.00087
[4200,4400[4300170.1478260.4521740.000739
[4400,4600[4500240.2086960.660870.001043
[4600,4800[4700220.1913040.8521740.000957
[4800,5000[4900110.0956520.9478260.000478
[5000,5200]510060.05217410.000261


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 6 ; par2 = Double ; par3 = additive ; par4 = 12 ;
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')
}