Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 12 Nov 2011 11:06:51 -0500
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/Nov/12/t1321114039x9v67h7qq20bsf0.htm/, Retrieved Wed, 29 Mar 2023 01:02:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141499, Retrieved Wed, 29 Mar 2023 01:02:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram mini tu...] [2011-11-12 16:06:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
78973
46146
46492
60656
21898
36555
74680
22807
61282
37981
41553
45081
38557
51641
30658
52924
79256
53462
68950
53639
67819
48333
28001
51665
39019
46221
65792
39858
19574
41829
78688
36781
44314
24874
56911
37048
48426
33388
26998
46502
41507
40001
33144
29501
43059
43249
29272
49821
98341
44372
42448
5950
64839
32551
30767
62046
71930
67328
67253
35373
85544
88087
30621
50580
49670
25456
69245
43787
53638
35683
38008
18801
44324
51408
53880
55708
63858
183643
35660
41664
29883
62047
33321
46553
56622
15430
49379
58215
38253
77786
21331
55292
30105
37651
59370
46216
73122
93927
55935
93308
74344
78094
25625
43750
28995
47336
57582
60875
165877
32984
61638
36367
1168
40530
21427
15024
39088
855
80455
14116
43915
76705
40112
41821
8773
52045
51491
53470
53211
63091
131634
41745
23656
51442
54574
35708
66627
39585
50029
25266
34860
62759
62307
37238
42452
59820
75075
97567
0
6023
0
0
0
0
42420
31116
0
0
1644
6179
3926
23238
0
38818




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141499&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141499&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20000[10000210.1280490.1280496e-06
[20000,40000[30000460.2804880.4085371.4e-05
[40000,60000[50000580.3536590.7621951.8e-05
[60000,80000[70000290.1768290.9390249e-06
[80000,1e+05[9000070.0426830.9817072e-06
[1e+05,120000[110000000.9817070
[120000,140000[13000010.0060980.9878050
[140000,160000[150000000.9878050
[160000,180000[17000010.0060980.9939020
[180000,2e+05]19000010.00609810

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,20000[ & 10000 & 21 & 0.128049 & 0.128049 & 6e-06 \tabularnewline
[20000,40000[ & 30000 & 46 & 0.280488 & 0.408537 & 1.4e-05 \tabularnewline
[40000,60000[ & 50000 & 58 & 0.353659 & 0.762195 & 1.8e-05 \tabularnewline
[60000,80000[ & 70000 & 29 & 0.176829 & 0.939024 & 9e-06 \tabularnewline
[80000,1e+05[ & 90000 & 7 & 0.042683 & 0.981707 & 2e-06 \tabularnewline
[1e+05,120000[ & 110000 & 0 & 0 & 0.981707 & 0 \tabularnewline
[120000,140000[ & 130000 & 1 & 0.006098 & 0.987805 & 0 \tabularnewline
[140000,160000[ & 150000 & 0 & 0 & 0.987805 & 0 \tabularnewline
[160000,180000[ & 170000 & 1 & 0.006098 & 0.993902 & 0 \tabularnewline
[180000,2e+05] & 190000 & 1 & 0.006098 & 1 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141499&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][0,20000[[/C][C]10000[/C][C]21[/C][C]0.128049[/C][C]0.128049[/C][C]6e-06[/C][/ROW]
[ROW][C][20000,40000[[/C][C]30000[/C][C]46[/C][C]0.280488[/C][C]0.408537[/C][C]1.4e-05[/C][/ROW]
[ROW][C][40000,60000[[/C][C]50000[/C][C]58[/C][C]0.353659[/C][C]0.762195[/C][C]1.8e-05[/C][/ROW]
[ROW][C][60000,80000[[/C][C]70000[/C][C]29[/C][C]0.176829[/C][C]0.939024[/C][C]9e-06[/C][/ROW]
[ROW][C][80000,1e+05[[/C][C]90000[/C][C]7[/C][C]0.042683[/C][C]0.981707[/C][C]2e-06[/C][/ROW]
[ROW][C][1e+05,120000[[/C][C]110000[/C][C]0[/C][C]0[/C][C]0.981707[/C][C]0[/C][/ROW]
[ROW][C][120000,140000[[/C][C]130000[/C][C]1[/C][C]0.006098[/C][C]0.987805[/C][C]0[/C][/ROW]
[ROW][C][140000,160000[[/C][C]150000[/C][C]0[/C][C]0[/C][C]0.987805[/C][C]0[/C][/ROW]
[ROW][C][160000,180000[[/C][C]170000[/C][C]1[/C][C]0.006098[/C][C]0.993902[/C][C]0[/C][/ROW]
[ROW][C][180000,2e+05][/C][C]190000[/C][C]1[/C][C]0.006098[/C][C]1[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141499&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,20000[10000210.1280490.1280496e-06
[20000,40000[30000460.2804880.4085371.4e-05
[40000,60000[50000580.3536590.7621951.8e-05
[60000,80000[70000290.1768290.9390249e-06
[80000,1e+05[9000070.0426830.9817072e-06
[1e+05,120000[110000000.9817070
[120000,140000[13000010.0060980.9878050
[140000,160000[150000000.9878050
[160000,180000[17000010.0060980.9939020
[180000,2e+05]19000010.00609810



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')
}