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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 computationWed, 24 Sep 2014 08:38:24 +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/2014/Sep/24/t1411544332qnirt4rlty97fit.htm/, Retrieved Thu, 09 May 2024 22:53:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236093, Retrieved Thu, 09 May 2024 22:53:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-09-24 07:38:24] [0837030ca90013de3b1661dab7c6b0da] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-3497
-13
1843
-3144
7625
3118
1373
-7172
2054
187
5615
-131
-2024
-2084
-388
-2567
7755
2527
1920
-4322
3158
-38
5421
174
-4163
589
1694
-4668
6167
2232
1733
-1717
2356
2632
6077
646
-1980
-705
2322
-1817
5686
3278
2090
-3191
3529
-1671
5283
292
-3086
-40
1613
-2814
6451
1907
2879
-3704
1012
-3495
4438
1120
-1936
388
881
-2351
7336
2191
1891
6287
1302
5154
9957
799

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=236093&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=236093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236093&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
[-8000,-6000[-700010.0138890.0138897e-06
[-6000,-4000[-500030.0416670.0555562.1e-05
[-4000,-2000[-3000110.1527780.2083337.6e-05
[-2000,0[-1000110.1527780.3611117.6e-05
[0,2000[1000190.2638890.6250.000132
[2000,4000[3000130.1805560.8055569e-05
[4000,6000[500060.0833330.8888894.2e-05
[6000,8000[700070.0972220.9861114.9e-05
[8000,10000]900010.01388917e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-8000,-6000[ & -7000 & 1 & 0.013889 & 0.013889 & 7e-06 \tabularnewline
[-6000,-4000[ & -5000 & 3 & 0.041667 & 0.055556 & 2.1e-05 \tabularnewline
[-4000,-2000[ & -3000 & 11 & 0.152778 & 0.208333 & 7.6e-05 \tabularnewline
[-2000,0[ & -1000 & 11 & 0.152778 & 0.361111 & 7.6e-05 \tabularnewline
[0,2000[ & 1000 & 19 & 0.263889 & 0.625 & 0.000132 \tabularnewline
[2000,4000[ & 3000 & 13 & 0.180556 & 0.805556 & 9e-05 \tabularnewline
[4000,6000[ & 5000 & 6 & 0.083333 & 0.888889 & 4.2e-05 \tabularnewline
[6000,8000[ & 7000 & 7 & 0.097222 & 0.986111 & 4.9e-05 \tabularnewline
[8000,10000] & 9000 & 1 & 0.013889 & 1 & 7e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236093&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][-8000,-6000[[/C][C]-7000[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]7e-06[/C][/ROW]
[ROW][C][-6000,-4000[[/C][C]-5000[/C][C]3[/C][C]0.041667[/C][C]0.055556[/C][C]2.1e-05[/C][/ROW]
[ROW][C][-4000,-2000[[/C][C]-3000[/C][C]11[/C][C]0.152778[/C][C]0.208333[/C][C]7.6e-05[/C][/ROW]
[ROW][C][-2000,0[[/C][C]-1000[/C][C]11[/C][C]0.152778[/C][C]0.361111[/C][C]7.6e-05[/C][/ROW]
[ROW][C][0,2000[[/C][C]1000[/C][C]19[/C][C]0.263889[/C][C]0.625[/C][C]0.000132[/C][/ROW]
[ROW][C][2000,4000[[/C][C]3000[/C][C]13[/C][C]0.180556[/C][C]0.805556[/C][C]9e-05[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]6[/C][C]0.083333[/C][C]0.888889[/C][C]4.2e-05[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]7[/C][C]0.097222[/C][C]0.986111[/C][C]4.9e-05[/C][/ROW]
[ROW][C][8000,10000][/C][C]9000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]7e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236093&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
[-8000,-6000[-700010.0138890.0138897e-06
[-6000,-4000[-500030.0416670.0555562.1e-05
[-4000,-2000[-3000110.1527780.2083337.6e-05
[-2000,0[-1000110.1527780.3611117.6e-05
[0,2000[1000190.2638890.6250.000132
[2000,4000[3000130.1805560.8055569e-05
[4000,6000[500060.0833330.8888894.2e-05
[6000,8000[700070.0972220.9861114.9e-05
[8000,10000]900010.01388917e-06


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')
}