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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 computationSat, 27 Sep 2014 20:55:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Sep/27/t1411847798sg0lklb2zj3lz17.htm/, Retrieved Thu, 09 May 2024 20:49:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=236632, Retrieved Thu, 09 May 2024 20:49:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2014-09-27 19:55:54] [397b699eae6f3431a51b0bb18afa5c27] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1367
1823
1858
1921
1916
1641
1927
1948
2108
2050
1512
1682
1337
1743
1846
1844
2014
1642
2048
2083
2212
2326
1850
2091
1496
1759
1899
2029
1927
1420
1993
1993
1901
1988
1606
1557
1514
1812
2305
2419
2877
2159
2894
2569
2366
2175
1592
1842
1684
1974
2233
2302
2254
1653
2099
2042
2283
2137
1871
1770
1745
2184
2159
2648
2221
1737
2514
2541
2419
2381
2520
1881
1736
2194
2457
2478
2386
1935
2545
2596
2565
2523
2203
2011

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236632&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236632&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1200,1400[130020.023810.023810.000119
[1400,1600[150060.0714290.0952380.000357
[1600,1800[1700120.1428570.2380950.000714
[1800,2000[1900210.250.4880950.00125
[2000,2200[2100160.1904760.6785710.000952
[2200,2400[2300120.1428570.8214290.000714
[2400,2600[2500120.1428570.9642860.000714
[2600,2800[270010.0119050.976196e-05
[2800,3000]290020.0238110.000119

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1200,1400[ & 1300 & 2 & 0.02381 & 0.02381 & 0.000119 \tabularnewline
[1400,1600[ & 1500 & 6 & 0.071429 & 0.095238 & 0.000357 \tabularnewline
[1600,1800[ & 1700 & 12 & 0.142857 & 0.238095 & 0.000714 \tabularnewline
[1800,2000[ & 1900 & 21 & 0.25 & 0.488095 & 0.00125 \tabularnewline
[2000,2200[ & 2100 & 16 & 0.190476 & 0.678571 & 0.000952 \tabularnewline
[2200,2400[ & 2300 & 12 & 0.142857 & 0.821429 & 0.000714 \tabularnewline
[2400,2600[ & 2500 & 12 & 0.142857 & 0.964286 & 0.000714 \tabularnewline
[2600,2800[ & 2700 & 1 & 0.011905 & 0.97619 & 6e-05 \tabularnewline
[2800,3000] & 2900 & 2 & 0.02381 & 1 & 0.000119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=236632&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][1200,1400[[/C][C]1300[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.000119[/C][/ROW]
[ROW][C][1400,1600[[/C][C]1500[/C][C]6[/C][C]0.071429[/C][C]0.095238[/C][C]0.000357[/C][/ROW]
[ROW][C][1600,1800[[/C][C]1700[/C][C]12[/C][C]0.142857[/C][C]0.238095[/C][C]0.000714[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]21[/C][C]0.25[/C][C]0.488095[/C][C]0.00125[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]16[/C][C]0.190476[/C][C]0.678571[/C][C]0.000952[/C][/ROW]
[ROW][C][2200,2400[[/C][C]2300[/C][C]12[/C][C]0.142857[/C][C]0.821429[/C][C]0.000714[/C][/ROW]
[ROW][C][2400,2600[[/C][C]2500[/C][C]12[/C][C]0.142857[/C][C]0.964286[/C][C]0.000714[/C][/ROW]
[ROW][C][2600,2800[[/C][C]2700[/C][C]1[/C][C]0.011905[/C][C]0.97619[/C][C]6e-05[/C][/ROW]
[ROW][C][2800,3000][/C][C]2900[/C][C]2[/C][C]0.02381[/C][C]1[/C][C]0.000119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=236632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=236632&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
[1200,1400[130020.023810.023810.000119
[1400,1600[150060.0714290.0952380.000357
[1600,1800[1700120.1428570.2380950.000714
[1800,2000[1900210.250.4880950.00125
[2000,2200[2100160.1904760.6785710.000952
[2200,2400[2300120.1428570.8214290.000714
[2400,2600[2500120.1428570.9642860.000714
[2600,2800[270010.0119050.976196e-05
[2800,3000]290020.0238110.000119


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')
}