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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 computationTue, 09 Aug 2016 20:11:28 +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/2016/Aug/09/t14707699252eca04r4fona5u1.htm/, Retrieved Sat, 18 May 2024 16:45:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296149, Retrieved Sat, 18 May 2024 16:45:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-08-09 19:11:28] [3e69b53d94b342798d3f1a806941de01] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
29054.5
28543.5
28032
27009.5
37356
36844.5
29054.5
23881.5
24392.5
24392.5
24904
25982
22859
19731
17169.5
17169.5
27009.5
28032
20242
11429.5
16091.5
16091.5
19731
21831.5
21320
16091.5
18708.5
17681
26493.5
24392.5
16091.5
9891
15580
17169.5
18708.5
20753.5
16602.5
13019
14558
15069
28543.5
28543.5
20753.5
19731
22859
21320
25471
30644
31671.5
24392.5
22342.5
20242
34283.5
35311
32694
35311
34794.5
30644
35311
40484
42584.5
36333.5
32182.5
35311
48785
52936
51913.5
53958
53447
48274
57086.5
59187
62259.5
52936
49296.5
53447
63337.5
72150
70049.5
70049.5
71077
67488
76817
76817
75227.5
66410
67999.5
69027
75789.5
84602
78350.5
81479
78862
77328
89269
86652
83012.5
77839.5
83012.5
85629.5
88752.5
92903
88752.5
91314
88190.5
87679.5
100642.5
101720.5
97570
90291.5
96492
99104
102232
106894
102232
105871.5
104282
98592.5
110533
110533

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'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 & 0 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296149&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296149&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296149&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,10000[500010.0083330.0083331e-06
[10000,20000[15000190.1583330.1666671.6e-05
[20000,30000[25000280.2333330.42.3e-05
[30000,40000[35000140.1166670.5166671.2e-05
[40000,50000[4500050.0416670.5583334e-06
[50000,60000[5500080.0666670.6257e-06
[60000,70000[6500060.050.6755e-06
[70000,80000[75000120.10.7751e-05
[80000,90000[85000110.0916670.8666679e-06
[90000,1e+05[9500070.0583330.9256e-06
[1e+05,110000[10500070.0583330.9833336e-06
[110000,120000]11500020.01666712e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,10000[ & 5000 & 1 & 0.008333 & 0.008333 & 1e-06 \tabularnewline
[10000,20000[ & 15000 & 19 & 0.158333 & 0.166667 & 1.6e-05 \tabularnewline
[20000,30000[ & 25000 & 28 & 0.233333 & 0.4 & 2.3e-05 \tabularnewline
[30000,40000[ & 35000 & 14 & 0.116667 & 0.516667 & 1.2e-05 \tabularnewline
[40000,50000[ & 45000 & 5 & 0.041667 & 0.558333 & 4e-06 \tabularnewline
[50000,60000[ & 55000 & 8 & 0.066667 & 0.625 & 7e-06 \tabularnewline
[60000,70000[ & 65000 & 6 & 0.05 & 0.675 & 5e-06 \tabularnewline
[70000,80000[ & 75000 & 12 & 0.1 & 0.775 & 1e-05 \tabularnewline
[80000,90000[ & 85000 & 11 & 0.091667 & 0.866667 & 9e-06 \tabularnewline
[90000,1e+05[ & 95000 & 7 & 0.058333 & 0.925 & 6e-06 \tabularnewline
[1e+05,110000[ & 105000 & 7 & 0.058333 & 0.983333 & 6e-06 \tabularnewline
[110000,120000] & 115000 & 2 & 0.016667 & 1 & 2e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296149&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]1[/C][C]0.008333[/C][C]0.008333[/C][C]1e-06[/C][/ROW]
[ROW][C][10000,20000[[/C][C]15000[/C][C]19[/C][C]0.158333[/C][C]0.166667[/C][C]1.6e-05[/C][/ROW]
[ROW][C][20000,30000[[/C][C]25000[/C][C]28[/C][C]0.233333[/C][C]0.4[/C][C]2.3e-05[/C][/ROW]
[ROW][C][30000,40000[[/C][C]35000[/C][C]14[/C][C]0.116667[/C][C]0.516667[/C][C]1.2e-05[/C][/ROW]
[ROW][C][40000,50000[[/C][C]45000[/C][C]5[/C][C]0.041667[/C][C]0.558333[/C][C]4e-06[/C][/ROW]
[ROW][C][50000,60000[[/C][C]55000[/C][C]8[/C][C]0.066667[/C][C]0.625[/C][C]7e-06[/C][/ROW]
[ROW][C][60000,70000[[/C][C]65000[/C][C]6[/C][C]0.05[/C][C]0.675[/C][C]5e-06[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]12[/C][C]0.1[/C][C]0.775[/C][C]1e-05[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]11[/C][C]0.091667[/C][C]0.866667[/C][C]9e-06[/C][/ROW]
[ROW][C][90000,1e+05[[/C][C]95000[/C][C]7[/C][C]0.058333[/C][C]0.925[/C][C]6e-06[/C][/ROW]
[ROW][C][1e+05,110000[[/C][C]105000[/C][C]7[/C][C]0.058333[/C][C]0.983333[/C][C]6e-06[/C][/ROW]
[ROW][C][110000,120000][/C][C]115000[/C][C]2[/C][C]0.016667[/C][C]1[/C][C]2e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296149&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296149&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[500010.0083330.0083331e-06
[10000,20000[15000190.1583330.1666671.6e-05
[20000,30000[25000280.2333330.42.3e-05
[30000,40000[35000140.1166670.5166671.2e-05
[40000,50000[4500050.0416670.5583334e-06
[50000,60000[5500080.0666670.6257e-06
[60000,70000[6500060.050.6755e-06
[70000,80000[75000120.10.7751e-05
[80000,90000[85000110.0916670.8666679e-06
[90000,1e+05[9500070.0583330.9256e-06
[1e+05,110000[10500070.0583330.9833336e-06
[110000,120000]11500020.01666712e-06


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 {
barplot(mytab <- sort(table(x),T),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')
}