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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 computationFri, 01 Oct 2010 13:30:24 +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/01/t1285940442g3ntc0qaed5rish.htm/, Retrieved Fri, 03 May 2024 06:36:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79849, Retrieved Fri, 03 May 2024 06:36:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentie] [2010-10-01 13:30:24] [465c6c9df074117d1de4b3f3c25f0c87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85311
84530
84531
84163
83298
83178
84603
86464
86851
86385
85730
85557
85268
85032
84190
83329
82521
82268
81736
81206
80602
80060
79873
79779
79004
78540
77488
76973
76672
76621
76720
76592
76212
75836
75110
75223
75532
75397
75705
74962
74507
73957
73478
72526
71539
70647
69763
69705
69525
69375
69144
68776
68216
66995
66184
65732
65630
65307
65338
65246
64795
64597
53837
52947
52799
52199
51834
51345
51183
50671
51059
51696

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79849&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79849&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'George Udny Yule' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50000,55000[52500100.1388890.1388892.8e-05
[55000,60000[57500000.1388890
[60000,65000[6250020.0277780.1666676e-06
[65000,70000[67500140.1944440.3611113.9e-05
[70000,75000[7250070.0972220.4583331.9e-05
[75000,80000[77500170.2361110.6944444.7e-05
[80000,85000[82500140.1944440.8888893.9e-05
[85000,90000]8750080.11111112.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50000,55000[ & 52500 & 10 & 0.138889 & 0.138889 & 2.8e-05 \tabularnewline
[55000,60000[ & 57500 & 0 & 0 & 0.138889 & 0 \tabularnewline
[60000,65000[ & 62500 & 2 & 0.027778 & 0.166667 & 6e-06 \tabularnewline
[65000,70000[ & 67500 & 14 & 0.194444 & 0.361111 & 3.9e-05 \tabularnewline
[70000,75000[ & 72500 & 7 & 0.097222 & 0.458333 & 1.9e-05 \tabularnewline
[75000,80000[ & 77500 & 17 & 0.236111 & 0.694444 & 4.7e-05 \tabularnewline
[80000,85000[ & 82500 & 14 & 0.194444 & 0.888889 & 3.9e-05 \tabularnewline
[85000,90000] & 87500 & 8 & 0.111111 & 1 & 2.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79849&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][50000,55000[[/C][C]52500[/C][C]10[/C][C]0.138889[/C][C]0.138889[/C][C]2.8e-05[/C][/ROW]
[ROW][C][55000,60000[[/C][C]57500[/C][C]0[/C][C]0[/C][C]0.138889[/C][C]0[/C][/ROW]
[ROW][C][60000,65000[[/C][C]62500[/C][C]2[/C][C]0.027778[/C][C]0.166667[/C][C]6e-06[/C][/ROW]
[ROW][C][65000,70000[[/C][C]67500[/C][C]14[/C][C]0.194444[/C][C]0.361111[/C][C]3.9e-05[/C][/ROW]
[ROW][C][70000,75000[[/C][C]72500[/C][C]7[/C][C]0.097222[/C][C]0.458333[/C][C]1.9e-05[/C][/ROW]
[ROW][C][75000,80000[[/C][C]77500[/C][C]17[/C][C]0.236111[/C][C]0.694444[/C][C]4.7e-05[/C][/ROW]
[ROW][C][80000,85000[[/C][C]82500[/C][C]14[/C][C]0.194444[/C][C]0.888889[/C][C]3.9e-05[/C][/ROW]
[ROW][C][85000,90000][/C][C]87500[/C][C]8[/C][C]0.111111[/C][C]1[/C][C]2.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79849&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
[50000,55000[52500100.1388890.1388892.8e-05
[55000,60000[57500000.1388890
[60000,65000[6250020.0277780.1666676e-06
[65000,70000[67500140.1944440.3611113.9e-05
[70000,75000[7250070.0972220.4583331.9e-05
[75000,80000[77500170.2361110.6944444.7e-05
[80000,85000[82500140.1944440.8888893.9e-05
[85000,90000]8750080.11111112.2e-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')
}