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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 computationSun, 31 Jul 2011 05:50:46 -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/2011/Jul/31/t1312106052sl09mc2m4odkvl1.htm/, Retrieved Wed, 15 May 2024 20:41:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123202, Retrieved Wed, 15 May 2024 20:41:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsThiebaut Thomas
Estimated Impact195

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] [2011-07-31 09:50:46] [5815de052410d7754c978b0de903e641] [Current]
- RMP     [Kernel Density Estimation] [TIJDREEKS A - STAP 6] [2011-07-31 10:19:43] [8a02c60b4e489c76553df8621bda666b]
- RMP     [Kernel Density Estimation] [TIJDREEKS A - STAP 6] [2011-07-31 10:19:43] [8a02c60b4e489c76553df8621bda666b]
- RMPD      [Quartiles] [TIJDREEKS A - STAP 8] [2011-08-11 08:21:22] [8a02c60b4e489c76553df8621bda666b]
- RMP     [Quartiles] [TIJDREEKS A - STAP 8] [2011-07-31 10:41:59] [8a02c60b4e489c76553df8621bda666b]
- RMP     [Quartiles] [TIJDREEKS A - STAP 8] [2011-07-31 10:41:59] [8a02c60b4e489c76553df8621bda666b]
- RMP     [Quartiles] [TIJDREEKS A - STAP 8] [2011-07-31 10:41:59] [8a02c60b4e489c76553df8621bda666b]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5740
5639
5538
5336
7380
7279
5740
4718
4819
4819
4920
5133
4516
3898
3392
3392
5336
5538
3999
2258
3179
3179
3898
4313
4212
3179
3696
3493
5234
4819
3179
1954
3078
3392
3696
4100
3280
2572
2876
2977
5639
5639
4100
3898
4516
4212
5032
6054
6257
4819
4414
3999
6773
6976
6459
6976
6874
6054
6976
7998
8413
7178
6358
6976
9638
10458
10256
10660
10559
9537
11278
11693
12300
10458
9739
10559
12513
14254
13839
13839
14042
13333
15176
15176
14862
13120
13434
13637
14973
16714
15479
16097
15580
15277
17636
17119
16400
15378
16400
16917
17534
18354
17534
18040
17423
17322
19883
20096
19276
17838
19063
19579
20197
21118
20197
20916
20602
19478
21837
21837

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'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123202&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123202&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123202&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'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,2000[100010.0083330.0083334e-06
[2000,4000[3000210.1750.1833338.8e-05
[4000,6000[5000260.2166670.40.000108
[6000,8000[7000150.1250.5256.2e-05
[8000,10000[900040.0333330.5583331.7e-05
[10000,12000[1100080.0666670.6253.3e-05
[12000,14000[1300080.0666670.6916673.3e-05
[14000,16000[15000100.0833330.7754.2e-05
[16000,18000[17000120.10.8755e-05
[18000,20000[1900070.0583330.9333332.9e-05
[20000,22000]2100080.06666713.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,2000[ & 1000 & 1 & 0.008333 & 0.008333 & 4e-06 \tabularnewline
[2000,4000[ & 3000 & 21 & 0.175 & 0.183333 & 8.8e-05 \tabularnewline
[4000,6000[ & 5000 & 26 & 0.216667 & 0.4 & 0.000108 \tabularnewline
[6000,8000[ & 7000 & 15 & 0.125 & 0.525 & 6.2e-05 \tabularnewline
[8000,10000[ & 9000 & 4 & 0.033333 & 0.558333 & 1.7e-05 \tabularnewline
[10000,12000[ & 11000 & 8 & 0.066667 & 0.625 & 3.3e-05 \tabularnewline
[12000,14000[ & 13000 & 8 & 0.066667 & 0.691667 & 3.3e-05 \tabularnewline
[14000,16000[ & 15000 & 10 & 0.083333 & 0.775 & 4.2e-05 \tabularnewline
[16000,18000[ & 17000 & 12 & 0.1 & 0.875 & 5e-05 \tabularnewline
[18000,20000[ & 19000 & 7 & 0.058333 & 0.933333 & 2.9e-05 \tabularnewline
[20000,22000] & 21000 & 8 & 0.066667 & 1 & 3.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123202&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][0,2000[[/C][C]1000[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]4e-06[/C][/ROW]
[ROW][C][2000,4000[[/C][C]3000[/C][C]21[/C][C]0.175[/C][C]0.183333[/C][C]8.8e-05[/C][/ROW]
[ROW][C][4000,6000[[/C][C]5000[/C][C]26[/C][C]0.216667[/C][C]0.4[/C][C]0.000108[/C][/ROW]
[ROW][C][6000,8000[[/C][C]7000[/C][C]15[/C][C]0.125[/C][C]0.525[/C][C]6.2e-05[/C][/ROW]
[ROW][C][8000,10000[[/C][C]9000[/C][C]4[/C][C]0.033333[/C][C]0.558333[/C][C]1.7e-05[/C][/ROW]
[ROW][C][10000,12000[[/C][C]11000[/C][C]8[/C][C]0.066667[/C][C]0.625[/C][C]3.3e-05[/C][/ROW]
[ROW][C][12000,14000[[/C][C]13000[/C][C]8[/C][C]0.066667[/C][C]0.691667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][14000,16000[[/C][C]15000[/C][C]10[/C][C]0.083333[/C][C]0.775[/C][C]4.2e-05[/C][/ROW]
[ROW][C][16000,18000[[/C][C]17000[/C][C]12[/C][C]0.1[/C][C]0.875[/C][C]5e-05[/C][/ROW]
[ROW][C][18000,20000[[/C][C]19000[/C][C]7[/C][C]0.058333[/C][C]0.933333[/C][C]2.9e-05[/C][/ROW]
[ROW][C][20000,22000][/C][C]21000[/C][C]8[/C][C]0.066667[/C][C]1[/C][C]3.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123202&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123202&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
[0,2000[100010.0083330.0083334e-06
[2000,4000[3000210.1750.1833338.8e-05
[4000,6000[5000260.2166670.40.000108
[6000,8000[7000150.1250.5256.2e-05
[8000,10000[900040.0333330.5583331.7e-05
[10000,12000[1100080.0666670.6253.3e-05
[12000,14000[1300080.0666670.6916673.3e-05
[14000,16000[15000100.0833330.7754.2e-05
[16000,18000[17000120.10.8755e-05
[18000,20000[1900070.0583330.9333332.9e-05
[20000,22000]2100080.06666713.3e-05


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')
}