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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 computationFri, 03 Aug 2012 06:01:32 -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/Aug/03/t1343988146iih30g46sodin66.htm/, Retrieved Mon, 29 Apr 2024 19:56:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168969, Retrieved Mon, 29 Apr 2024 19:56:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSelleslaghs Tessa
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks A stap 3] [2012-08-03 10:01:32] [5f178b5bce8a01d64692a8a5c649399b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3028
3017
3007
2986
3193
3183
3028
2924
2935
2935
2945
2966
2955
3038
3069
3038
3152
3079
2914
2873
2873
2893
2811
2873
2821
2873
2955
2986
3059
3028
2842
2769
2738
2769
2718
2738
2676
2780
2831
2842
3038
3038
2780
2718
2718
2749
2614
2552
2480
2501
2594
2521
2718
2749
2552
2480
2439
2480
2366
2325
2160
2201
2211
2222
2418
2397
2160
2056
2015
2067
1870
1736
1488
1509
1509
1488
1664
1674
1467
1426
1343
1457
1250
1126
889
940
878
899
1054
1085
982
971
971
1106
868
713
444
661
630
641
889
858
744
796
796
982
765
641
444
703
682
692
909
889
816
827
878
992
816
672

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=168969&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=168969&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168969&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
[0,500[25020.0166670.0166673.3e-05
[500,1000[750310.2583330.2750.000517
[1000,1500[1250110.0916670.3666670.000183
[1500,2000[175060.050.4166671e-04
[2000,2500[2250160.1333330.550.000267
[2500,3000[2750390.3250.8750.00065
[3000,3500]3250150.12510.00025

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,500[ & 250 & 2 & 0.016667 & 0.016667 & 3.3e-05 \tabularnewline
[500,1000[ & 750 & 31 & 0.258333 & 0.275 & 0.000517 \tabularnewline
[1000,1500[ & 1250 & 11 & 0.091667 & 0.366667 & 0.000183 \tabularnewline
[1500,2000[ & 1750 & 6 & 0.05 & 0.416667 & 1e-04 \tabularnewline
[2000,2500[ & 2250 & 16 & 0.133333 & 0.55 & 0.000267 \tabularnewline
[2500,3000[ & 2750 & 39 & 0.325 & 0.875 & 0.00065 \tabularnewline
[3000,3500] & 3250 & 15 & 0.125 & 1 & 0.00025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168969&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][0,500[[/C][C]250[/C][C]2[/C][C]0.016667[/C][C]0.016667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][500,1000[[/C][C]750[/C][C]31[/C][C]0.258333[/C][C]0.275[/C][C]0.000517[/C][/ROW]
[ROW][C][1000,1500[[/C][C]1250[/C][C]11[/C][C]0.091667[/C][C]0.366667[/C][C]0.000183[/C][/ROW]
[ROW][C][1500,2000[[/C][C]1750[/C][C]6[/C][C]0.05[/C][C]0.416667[/C][C]1e-04[/C][/ROW]
[ROW][C][2000,2500[[/C][C]2250[/C][C]16[/C][C]0.133333[/C][C]0.55[/C][C]0.000267[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]39[/C][C]0.325[/C][C]0.875[/C][C]0.00065[/C][/ROW]
[ROW][C][3000,3500][/C][C]3250[/C][C]15[/C][C]0.125[/C][C]1[/C][C]0.00025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168969&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168969&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
[0,500[25020.0166670.0166673.3e-05
[500,1000[750310.2583330.2750.000517
[1000,1500[1250110.0916670.3666670.000183
[1500,2000[175060.050.4166671e-04
[2000,2500[2250160.1333330.550.000267
[2500,3000[2750390.3250.8750.00065
[3000,3500]3250150.12510.00025


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')
}