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Author's title

Frequentietabel - Koers BEL 20 van Januari 2000 tot Januari 2009 - Claus We...

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 13 Mar 2009 01:16:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/13/t1236928647mkcwmym2dokisyo.htm/, Retrieved Mon, 08 Aug 2022 14:07:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39021, Retrieved Mon, 08 Aug 2022 14:07:43 +0000
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Original text written by user:Verbeterde versie
IsPrivate?No (this computation is public)
User-defined keywordsVerbeterde versie
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel -...] [2009-03-13 07:16:19] [fbcf875f1b36dfb87c2c6a55976f6e7b] [Current]
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Dataseries X:
3030.29
2803.47
2767.63
2882.6
2863.36
2897.06
3012.61
3142.95
3032.93
3045.78
3110.52
3013.24
2987.1
2995.55
2833.18
2848.96
2794.83
2845.26
2915.02
2892.63
2604.42
2641.65
2659.81
2638.53
2720.25
2745.88
2735.7
2811.7
2799.43
2555.28
2304.98
2214.95
2065.81
1940.49
2042
1995.37
1946.81
1765.9
1635.25
1833.42
1910.43
1959.67
1969.6
2061.41
2091.48
2120.88
2174.56
2196.72
2350.44
2440.25
2408.64
2472.81
2407.6
2452.62
2448.05
2497.84
2645.64
2756.76
2849.27
2921.44
2981.85
3080.58
3106.22
3119.31
3061.26
3097.31
3161.69
3257.16
3277.01
3295.32
3363.99
3494.17
3667.03
3813.06
3917.96
3895.51
3801.06
3570.12
3701.61
3862.27
3970.1
4138.52
4199.75
4290.89
4443.91
4502.64
4356.98
4591.27
4696.96
4621.4
4562.84
4202.52
4296.49
4435.23
4105.18
4116.68
3844.49
3720.98
3674.4
3857.62
3801.06
3504.37
3032.6
3047.03
2962.34
2197.82
2014.45
1862.83
1905.41




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=39021&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=39021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39021&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1600,1800[170020.0183490.0183499.2e-05
[1800,2000[190090.0825690.1009170.000413
[2000,2200[210090.0825690.1834860.000413
[2200,2400[230030.0275230.2110090.000138
[2400,2600[250080.0733940.2844040.000367
[2600,2800[2700120.1100920.3944950.00055
[2800,3000[2900160.1467890.5412840.000734
[3000,3200[3100150.1376150.6788990.000688
[3200,3400[330040.0366970.7155960.000183
[3400,3600[350030.0275230.7431190.000138
[3600,3800[370040.0366970.7798170.000183
[3800,4000[390090.0825690.8623850.000413
[4000,4200[410040.0366970.8990830.000183
[4200,4400[430040.0366970.935780.000183
[4400,4600[450050.0458720.9816510.000229
[4600,4800]470020.01834919.2e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1600,1800[ & 1700 & 2 & 0.018349 & 0.018349 & 9.2e-05 \tabularnewline
[1800,2000[ & 1900 & 9 & 0.082569 & 0.100917 & 0.000413 \tabularnewline
[2000,2200[ & 2100 & 9 & 0.082569 & 0.183486 & 0.000413 \tabularnewline
[2200,2400[ & 2300 & 3 & 0.027523 & 0.211009 & 0.000138 \tabularnewline
[2400,2600[ & 2500 & 8 & 0.073394 & 0.284404 & 0.000367 \tabularnewline
[2600,2800[ & 2700 & 12 & 0.110092 & 0.394495 & 0.00055 \tabularnewline
[2800,3000[ & 2900 & 16 & 0.146789 & 0.541284 & 0.000734 \tabularnewline
[3000,3200[ & 3100 & 15 & 0.137615 & 0.678899 & 0.000688 \tabularnewline
[3200,3400[ & 3300 & 4 & 0.036697 & 0.715596 & 0.000183 \tabularnewline
[3400,3600[ & 3500 & 3 & 0.027523 & 0.743119 & 0.000138 \tabularnewline
[3600,3800[ & 3700 & 4 & 0.036697 & 0.779817 & 0.000183 \tabularnewline
[3800,4000[ & 3900 & 9 & 0.082569 & 0.862385 & 0.000413 \tabularnewline
[4000,4200[ & 4100 & 4 & 0.036697 & 0.899083 & 0.000183 \tabularnewline
[4200,4400[ & 4300 & 4 & 0.036697 & 0.93578 & 0.000183 \tabularnewline
[4400,4600[ & 4500 & 5 & 0.045872 & 0.981651 & 0.000229 \tabularnewline
[4600,4800] & 4700 & 2 & 0.018349 & 1 & 9.2e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39021&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][1600,1800[[/C][C]1700[/C][C]2[/C][C]0.018349[/C][C]0.018349[/C][C]9.2e-05[/C][/ROW]
[ROW][C][1800,2000[[/C][C]1900[/C][C]9[/C][C]0.082569[/C][C]0.100917[/C][C]0.000413[/C][/ROW]
[ROW][C][2000,2200[[/C][C]2100[/C][C]9[/C][C]0.082569[/C][C]0.183486[/C][C]0.000413[/C][/ROW]
[ROW][C][2200,2400[[/C][C]2300[/C][C]3[/C][C]0.027523[/C][C]0.211009[/C][C]0.000138[/C][/ROW]
[ROW][C][2400,2600[[/C][C]2500[/C][C]8[/C][C]0.073394[/C][C]0.284404[/C][C]0.000367[/C][/ROW]
[ROW][C][2600,2800[[/C][C]2700[/C][C]12[/C][C]0.110092[/C][C]0.394495[/C][C]0.00055[/C][/ROW]
[ROW][C][2800,3000[[/C][C]2900[/C][C]16[/C][C]0.146789[/C][C]0.541284[/C][C]0.000734[/C][/ROW]
[ROW][C][3000,3200[[/C][C]3100[/C][C]15[/C][C]0.137615[/C][C]0.678899[/C][C]0.000688[/C][/ROW]
[ROW][C][3200,3400[[/C][C]3300[/C][C]4[/C][C]0.036697[/C][C]0.715596[/C][C]0.000183[/C][/ROW]
[ROW][C][3400,3600[[/C][C]3500[/C][C]3[/C][C]0.027523[/C][C]0.743119[/C][C]0.000138[/C][/ROW]
[ROW][C][3600,3800[[/C][C]3700[/C][C]4[/C][C]0.036697[/C][C]0.779817[/C][C]0.000183[/C][/ROW]
[ROW][C][3800,4000[[/C][C]3900[/C][C]9[/C][C]0.082569[/C][C]0.862385[/C][C]0.000413[/C][/ROW]
[ROW][C][4000,4200[[/C][C]4100[/C][C]4[/C][C]0.036697[/C][C]0.899083[/C][C]0.000183[/C][/ROW]
[ROW][C][4200,4400[[/C][C]4300[/C][C]4[/C][C]0.036697[/C][C]0.93578[/C][C]0.000183[/C][/ROW]
[ROW][C][4400,4600[[/C][C]4500[/C][C]5[/C][C]0.045872[/C][C]0.981651[/C][C]0.000229[/C][/ROW]
[ROW][C][4600,4800][/C][C]4700[/C][C]2[/C][C]0.018349[/C][C]1[/C][C]9.2e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39021&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
[1600,1800[170020.0183490.0183499.2e-05
[1800,2000[190090.0825690.1009170.000413
[2000,2200[210090.0825690.1834860.000413
[2200,2400[230030.0275230.2110090.000138
[2400,2600[250080.0733940.2844040.000367
[2600,2800[2700120.1100920.3944950.00055
[2800,3000[2900160.1467890.5412840.000734
[3000,3200[3100150.1376150.6788990.000688
[3200,3400[330040.0366970.7155960.000183
[3400,3600[350030.0275230.7431190.000138
[3600,3800[370040.0366970.7798170.000183
[3800,4000[390090.0825690.8623850.000413
[4000,4200[410040.0366970.8990830.000183
[4200,4400[430040.0366970.935780.000183
[4400,4600[450050.0458720.9816510.000229
[4600,4800]470020.01834919.2e-05



Parameters (Session):
par1 = 14 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 14 ; 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.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)
}
dev.off()
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')