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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 computationMon, 29 Sep 2014 17:35:02 +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/29/t1412008525ah2azzstwjv7wep.htm/, Retrieved Sun, 12 May 2024 21:36:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236807, Retrieved Sun, 12 May 2024 21:36:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-29 16:15:36] [ff4b6015810e16a492ef4319b84b42ce]
- RMP     [Histogram] [] [2014-09-29 16:35:02] [0837030ca90013de3b1661dab7c6b0da] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1196
1141
6081
-3508
1782
-891
-2043
35
5042
-1837
406
-3621
1987
1627
6692
-3999
679
-215
-2820
799
9957
5154
1302
6287
1891
2191
7336
-2351
881
388
-1936
1120
4438
-3495
1012
-3704
2879
1907
6451
-2814
1613
-40
-3086
292
5283
-1671
3529
-3191
2090
3278
5686
-1817
2322
-705
-1980
646
6077
2632
2356
-1717
1733
2232
6167
-4668
1694
589
-4163
174
5421
-38
3158
-4322
1920
2527
7755
-2567
-388
-2084
-2024
-131
5615
187
2054
-7172

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236807&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236807&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236807&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-8000,-6000[-700010.0119050.0119056e-06
[-6000,-4000[-500030.0357140.0476191.8e-05
[-4000,-2000[-3000140.1666670.2142868.3e-05
[-2000,0[-1000130.1547620.3690487.7e-05
[0,2000[1000250.2976190.6666670.000149
[2000,4000[3000120.1428570.8095247.1e-05
[4000,6000[500070.0833330.8928574.2e-05
[6000,8000[700080.0952380.9880954.8e-05
[8000,10000]900010.01190516e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-8000,-6000[ & -7000 & 1 & 0.011905 & 0.011905 & 6e-06 \tabularnewline
[-6000,-4000[ & -5000 & 3 & 0.035714 & 0.047619 & 1.8e-05 \tabularnewline
[-4000,-2000[ & -3000 & 14 & 0.166667 & 0.214286 & 8.3e-05 \tabularnewline
[-2000,0[ & -1000 & 13 & 0.154762 & 0.369048 & 7.7e-05 \tabularnewline
[0,2000[ & 1000 & 25 & 0.297619 & 0.666667 & 0.000149 \tabularnewline
[2000,4000[ & 3000 & 12 & 0.142857 & 0.809524 & 7.1e-05 \tabularnewline
[4000,6000[ & 5000 & 7 & 0.083333 & 0.892857 & 4.2e-05 \tabularnewline
[6000,8000[ & 7000 & 8 & 0.095238 & 0.988095 & 4.8e-05 \tabularnewline
[8000,10000] & 9000 & 1 & 0.011905 & 1 & 6e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236807&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]0.011905[/C][C]0.011905[/C][C]6e-06[/C][/ROW]
[ROW][C][-6000,-4000[[/C][C]-5000[/C][C]3[/C][C]0.035714[/C][C]0.047619[/C][C]1.8e-05[/C][/ROW]
[ROW][C][-4000,-2000[[/C][C]-3000[/C][C]14[/C][C]0.166667[/C][C]0.214286[/C][C]8.3e-05[/C][/ROW]
[ROW][C][-2000,0[[/C][C]-1000[/C][C]13[/C][C]0.154762[/C][C]0.369048[/C][C]7.7e-05[/C][/ROW]
[ROW][C][0,2000[[/C][C]1000[/C][C]25[/C][C]0.297619[/C][C]0.666667[/C][C]0.000149[/C][/ROW]
[ROW][C][2000,4000[[/C][C]3000[/C][C]12[/C][C]0.142857[/C][C]0.809524[/C][C]7.1e-05[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]7[/C][C]0.083333[/C][C]0.892857[/C][C]4.2e-05[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]8[/C][C]0.095238[/C][C]0.988095[/C][C]4.8e-05[/C][/ROW]
[ROW][C][8000,10000][/C][C]9000[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]6e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236807&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236807&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[-700010.0119050.0119056e-06
[-6000,-4000[-500030.0357140.0476191.8e-05
[-4000,-2000[-3000140.1666670.2142868.3e-05
[-2000,0[-1000130.1547620.3690487.7e-05
[0,2000[1000250.2976190.6666670.000149
[2000,4000[3000120.1428570.8095247.1e-05
[4000,6000[500070.0833330.8928574.2e-05
[6000,8000[700080.0952380.9880954.8e-05
[8000,10000]900010.01190516e-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')
}