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 computationTue, 12 Apr 2011 12:52:49 +0000
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/Apr/12/t1302612661lkzuqm817skk31e.htm/, Retrieved Thu, 09 May 2024 04:12:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=120508, Retrieved Thu, 09 May 2024 04:12:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2011-04-12 12:52:49] [f0cd0ad4d4cb2a25864ed1f6cd7bfd87] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7989
41102
9123
22109
47115
9105
5496
23102
6994
84101
5884
6383
6292
36109
49127
26116
63120
60115
77117
18110
3999
79105
2286
7487
7789
3788
83108
52100
93102
598
8983
3488
2780
7974
9171
3071
4166
7968
6580
7183
2779
5273
1568
1860
9853
6757
6745
5144
9444
2248
7349
8149
7949
3545
1043
4038
4335
5432
8027
8626
24
4829
931
232
9034
1337
5138
9736
7730
7133
8126
424

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120508&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120508&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10000[5000560.7777780.7777787.8e-05
[10000,20000[1500010.0138890.7916671e-06
[20000,30000[2500030.0416670.8333334e-06
[30000,40000[3500010.0138890.8472221e-06
[40000,50000[4500030.0416670.8888894e-06
[50000,60000[5500010.0138890.9027781e-06
[60000,70000[6500020.0277780.9305563e-06
[70000,80000[7500020.0277780.9583333e-06
[80000,90000[8500020.0277780.9861113e-06
[90000,1e+05]9500010.01388911e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10000[ & 5000 & 56 & 0.777778 & 0.777778 & 7.8e-05 \tabularnewline
[10000,20000[ & 15000 & 1 & 0.013889 & 0.791667 & 1e-06 \tabularnewline
[20000,30000[ & 25000 & 3 & 0.041667 & 0.833333 & 4e-06 \tabularnewline
[30000,40000[ & 35000 & 1 & 0.013889 & 0.847222 & 1e-06 \tabularnewline
[40000,50000[ & 45000 & 3 & 0.041667 & 0.888889 & 4e-06 \tabularnewline
[50000,60000[ & 55000 & 1 & 0.013889 & 0.902778 & 1e-06 \tabularnewline
[60000,70000[ & 65000 & 2 & 0.027778 & 0.930556 & 3e-06 \tabularnewline
[70000,80000[ & 75000 & 2 & 0.027778 & 0.958333 & 3e-06 \tabularnewline
[80000,90000[ & 85000 & 2 & 0.027778 & 0.986111 & 3e-06 \tabularnewline
[90000,1e+05] & 95000 & 1 & 0.013889 & 1 & 1e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=120508&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][0,10000[[/C][C]5000[/C][C]56[/C][C]0.777778[/C][C]0.777778[/C][C]7.8e-05[/C][/ROW]
[ROW][C][10000,20000[[/C][C]15000[/C][C]1[/C][C]0.013889[/C][C]0.791667[/C][C]1e-06[/C][/ROW]
[ROW][C][20000,30000[[/C][C]25000[/C][C]3[/C][C]0.041667[/C][C]0.833333[/C][C]4e-06[/C][/ROW]
[ROW][C][30000,40000[[/C][C]35000[/C][C]1[/C][C]0.013889[/C][C]0.847222[/C][C]1e-06[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]3[/C][C]0.041667[/C][C]0.888889[/C][C]4e-06[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]1[/C][C]0.013889[/C][C]0.902778[/C][C]1e-06[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]2[/C][C]0.027778[/C][C]0.930556[/C][C]3e-06[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]2[/C][C]0.027778[/C][C]0.958333[/C][C]3e-06[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]3e-06[/C][/ROW]
[ROW][C][90000,1e+05][/C][C]95000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]1e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=120508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=120508&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
[0,10000[5000560.7777780.7777787.8e-05
[10000,20000[1500010.0138890.7916671e-06
[20000,30000[2500030.0416670.8333334e-06
[30000,40000[3500010.0138890.8472221e-06
[40000,50000[4500030.0416670.8888894e-06
[50000,60000[5500010.0138890.9027781e-06
[60000,70000[6500020.0277780.9305563e-06
[70000,80000[7500020.0277780.9583333e-06
[80000,90000[8500020.0277780.9861113e-06
[90000,1e+05]9500010.01388911e-06


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 12 ; 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')
}