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, 05 Oct 2010 14:43:42 +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/2010/Oct/05/t1286289813x82aq94rhnmbml2.htm/, Retrieved Sun, 28 Apr 2024 06:48:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=81466, Retrieved Sun, 28 Apr 2024 06:48:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact122

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] [] [2010-10-05 14:00:34] [b1f6d8dbeadd0fa6517eb94d633322ff]
- RMP     [Histogram] [] [2010-10-05 14:43:42] [e682c8b2f32588f1ce8624d4caf1be78] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10065
12684
11587
9843
8110
7940
6475
6121
9669
7778
7826
7403
10741
14023
11519
10236
8075
8157
8684
8306
7643
10577
13747
11783
11611
9946
8693
7303
7609
9423
8584
7586
6843
11811
13414
12103
11501
8213
7982
7687
7180
7862
8043
8340
6692
6715
7703
9856
8326
9269
7035
10342
11682
10304
11385
9777
8882
7897
6930
9545
9110
7459
7320
10017
12307
11072
10749
9589
9080
7384
8062
8511

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 Ronald Aylmer Fisher' @ 193.190.124.24

\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 Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81466&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 Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81466&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81466&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 Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6000,7000[650060.0833330.0833338.3e-05
[7000,8000[7500180.250.3333330.00025
[8000,9000[8500140.1944440.5277780.000194
[9000,10000[9500110.1527780.6805560.000153
[10000,11000[1050080.1111110.7916670.000111
[11000,12000[1150090.1250.9166670.000125
[12000,13000[1250030.0416670.9583334.2e-05
[13000,14000[1350020.0277780.9861112.8e-05
[14000,15000]1450010.01388911.4e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6000,7000[ & 6500 & 6 & 0.083333 & 0.083333 & 8.3e-05 \tabularnewline
[7000,8000[ & 7500 & 18 & 0.25 & 0.333333 & 0.00025 \tabularnewline
[8000,9000[ & 8500 & 14 & 0.194444 & 0.527778 & 0.000194 \tabularnewline
[9000,10000[ & 9500 & 11 & 0.152778 & 0.680556 & 0.000153 \tabularnewline
[10000,11000[ & 10500 & 8 & 0.111111 & 0.791667 & 0.000111 \tabularnewline
[11000,12000[ & 11500 & 9 & 0.125 & 0.916667 & 0.000125 \tabularnewline
[12000,13000[ & 12500 & 3 & 0.041667 & 0.958333 & 4.2e-05 \tabularnewline
[13000,14000[ & 13500 & 2 & 0.027778 & 0.986111 & 2.8e-05 \tabularnewline
[14000,15000] & 14500 & 1 & 0.013889 & 1 & 1.4e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=81466&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][6000,7000[[/C][C]6500[/C][C]6[/C][C]0.083333[/C][C]0.083333[/C][C]8.3e-05[/C][/ROW]
[ROW][C][7000,8000[[/C][C]7500[/C][C]18[/C][C]0.25[/C][C]0.333333[/C][C]0.00025[/C][/ROW]
[ROW][C][8000,9000[[/C][C]8500[/C][C]14[/C][C]0.194444[/C][C]0.527778[/C][C]0.000194[/C][/ROW]
[ROW][C][9000,10000[[/C][C]9500[/C][C]11[/C][C]0.152778[/C][C]0.680556[/C][C]0.000153[/C][/ROW]
[ROW][C][10000,11000[[/C][C]10500[/C][C]8[/C][C]0.111111[/C][C]0.791667[/C][C]0.000111[/C][/ROW]
[ROW][C][11000,12000[[/C][C]11500[/C][C]9[/C][C]0.125[/C][C]0.916667[/C][C]0.000125[/C][/ROW]
[ROW][C][12000,13000[[/C][C]12500[/C][C]3[/C][C]0.041667[/C][C]0.958333[/C][C]4.2e-05[/C][/ROW]
[ROW][C][13000,14000[[/C][C]13500[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]2.8e-05[/C][/ROW]
[ROW][C][14000,15000][/C][C]14500[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]1.4e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=81466&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=81466&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
[6000,7000[650060.0833330.0833338.3e-05
[7000,8000[7500180.250.3333330.00025
[8000,9000[8500140.1944440.5277780.000194
[9000,10000[9500110.1527780.6805560.000153
[10000,11000[1050080.1111110.7916670.000111
[11000,12000[1150090.1250.9166670.000125
[12000,13000[1250030.0416670.9583334.2e-05
[13000,14000[1350020.0277780.9861112.8e-05
[14000,15000]1450010.01388911.4e-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')
}