FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 03 Feb 2013 11:28:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/03/t1359908905dqpcwywnwta4ayf.htm/, Retrieved Sat, 27 Apr 2024 18:09:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206017, Retrieved Sat, 27 Apr 2024 18:09:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2013-02-03 16:28:06] [3d5865aeea343c832d5219814a9dc8a5] [Current]
- R  D    [Histogram] [frequentietabel] [2013-02-10 12:54:19] [74be16979710d4c4e7c6647856088456]
- RMPD    [Univariate Data Series] [prijsonderzoek op...] [2013-02-10 13:18:33] [f173f7bfabc8795c9d333000bffdcfed]
- RMPD    [Univariate Data Series] [] [2013-02-10 13:20:15] [f173f7bfabc8795c9d333000bffdcfed]
- RMP       [Histogram] [histogram studio ...] [2013-02-12 16:37:02] [f173f7bfabc8795c9d333000bffdcfed]
- RMP       [Histogram] [histogram studio ...] [2013-02-12 16:55:51] [f173f7bfabc8795c9d333000bffdcfed]
-    D    [Histogram] [Frequentietabel m...] [2013-02-10 13:32:19] [f173f7bfabc8795c9d333000bffdcfed]
- R PD    [Histogram] [Frequentietabel m...] [2013-02-10 13:35:48] [f173f7bfabc8795c9d333000bffdcfed]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10437
17988
21035
16963
15879
17902
22356
20645
23992
29367
20659
18785
20801
21925
23118
22849
20198
18130
25597
28785
28229
33474
28287
27297
16167
22380
24256
19573
21553
21359
29586
27186
32066
34670
25985
27561
14538
18730
22485
20036
16971
19028
22759
20516
26195
27786
24090
25447
11509
15572
22518
20520
17789
20205
26835
25826
31934
30019
30111
31566
12738
19814
24776
20424
18688
20418
25778
25100
25859
30651
26551
31124
9367
17382
20995
18205
17328
18157
23691
26736

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206017&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206017&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206017&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5000,10000[750010.01250.01252e-06
[10000,15000[1250040.050.06251e-05
[15000,20000[17500190.23750.34.8e-05
[20000,25000[22500270.33750.63756.8e-05
[25000,30000[27500200.250.88755e-05
[30000,35000]3250090.112512.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5000,10000[ & 7500 & 1 & 0.0125 & 0.0125 & 2e-06 \tabularnewline
[10000,15000[ & 12500 & 4 & 0.05 & 0.0625 & 1e-05 \tabularnewline
[15000,20000[ & 17500 & 19 & 0.2375 & 0.3 & 4.8e-05 \tabularnewline
[20000,25000[ & 22500 & 27 & 0.3375 & 0.6375 & 6.8e-05 \tabularnewline
[25000,30000[ & 27500 & 20 & 0.25 & 0.8875 & 5e-05 \tabularnewline
[30000,35000] & 32500 & 9 & 0.1125 & 1 & 2.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206017&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][5000,10000[[/C][C]7500[/C][C]1[/C][C]0.0125[/C][C]0.0125[/C][C]2e-06[/C][/ROW]
[ROW][C][10000,15000[[/C][C]12500[/C][C]4[/C][C]0.05[/C][C]0.0625[/C][C]1e-05[/C][/ROW]
[ROW][C][15000,20000[[/C][C]17500[/C][C]19[/C][C]0.2375[/C][C]0.3[/C][C]4.8e-05[/C][/ROW]
[ROW][C][20000,25000[[/C][C]22500[/C][C]27[/C][C]0.3375[/C][C]0.6375[/C][C]6.8e-05[/C][/ROW]
[ROW][C][25000,30000[[/C][C]27500[/C][C]20[/C][C]0.25[/C][C]0.8875[/C][C]5e-05[/C][/ROW]
[ROW][C][30000,35000][/C][C]32500[/C][C]9[/C][C]0.1125[/C][C]1[/C][C]2.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206017&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206017&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
[5000,10000[750010.01250.01252e-06
[10000,15000[1250040.050.06251e-05
[15000,20000[17500190.23750.34.8e-05
[20000,25000[22500270.33750.63756.8e-05
[25000,30000[27500200.250.88755e-05
[30000,35000]3250090.112512.2e-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')
}