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Author's title

frequency van het aantal keer dat een bepaalde prijs voor een damesfiets vo...

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 21 Feb 2012 18:01:30 -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/2012/Feb/21/t13298653958wx1v6w1zqnmq4u.htm/, Retrieved Sat, 04 May 2024 03:58:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162983, Retrieved Sat, 04 May 2024 03:58:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequency van het...] [2012-02-21 23:01:30] [7b0d021f0a275c50b786c74a5009310f] [Current]
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Dataseries X:
369.82
373.1
374.55
375.01
374.81
375.31
375.31
375.39
375.59
376.26
377.18
377.26
377.26
381.87
387.09
387.14
388.78
389.16
389.16
389.42
389.49
388.97
388.97
389.09
389.09
391.76
390.96
391.76
392.8
393.06
393.06
393.26
393.87
394.47
394.57
394.57
394.57
399.57
406.13
407.03
409.46
409.9
409.9
410.14
410.54
410.69
410.79
410.97
410.97
413.8
423.31
423.85
426.6
426.26
426.26
426.32
427.14
427.55
428.29
428.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162983&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162983&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[368,370[36910.0166670.0166670.008333
[370,372[371000.0166670
[372,374[37310.0166670.0333330.008333
[374,376[37570.1166670.150.058333
[376,378[37740.0666670.2166670.033333
[378,380[379000.2166670
[380,382[38110.0166670.2333330.008333
[382,384[383000.2333330
[384,386[385000.2333330
[386,388[38720.0333330.2666670.016667
[388,390[38990.150.4166670.075
[390,392[39130.050.4666670.025
[392,394[39350.0833330.550.041667
[394,396[39540.0666670.6166670.033333
[396,398[397000.6166670
[398,400[39910.0166670.6333330.008333
[400,402[401000.6333330
[402,404[403000.6333330
[404,406[405000.6333330
[406,408[40720.0333330.6666670.016667
[408,410[40930.050.7166670.025
[410,412[41160.10.8166670.05
[412,414[41310.0166670.8333330.008333
[414,416[415000.8333330
[416,418[417000.8333330
[418,420[419000.8333330
[420,422[421000.8333330
[422,424[42320.0333330.8666670.016667
[424,426[425000.8666670
[426,428[42760.10.9666670.05
[428,430]42920.03333310.016667

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[368,370[ & 369 & 1 & 0.016667 & 0.016667 & 0.008333 \tabularnewline
[370,372[ & 371 & 0 & 0 & 0.016667 & 0 \tabularnewline
[372,374[ & 373 & 1 & 0.016667 & 0.033333 & 0.008333 \tabularnewline
[374,376[ & 375 & 7 & 0.116667 & 0.15 & 0.058333 \tabularnewline
[376,378[ & 377 & 4 & 0.066667 & 0.216667 & 0.033333 \tabularnewline
[378,380[ & 379 & 0 & 0 & 0.216667 & 0 \tabularnewline
[380,382[ & 381 & 1 & 0.016667 & 0.233333 & 0.008333 \tabularnewline
[382,384[ & 383 & 0 & 0 & 0.233333 & 0 \tabularnewline
[384,386[ & 385 & 0 & 0 & 0.233333 & 0 \tabularnewline
[386,388[ & 387 & 2 & 0.033333 & 0.266667 & 0.016667 \tabularnewline
[388,390[ & 389 & 9 & 0.15 & 0.416667 & 0.075 \tabularnewline
[390,392[ & 391 & 3 & 0.05 & 0.466667 & 0.025 \tabularnewline
[392,394[ & 393 & 5 & 0.083333 & 0.55 & 0.041667 \tabularnewline
[394,396[ & 395 & 4 & 0.066667 & 0.616667 & 0.033333 \tabularnewline
[396,398[ & 397 & 0 & 0 & 0.616667 & 0 \tabularnewline
[398,400[ & 399 & 1 & 0.016667 & 0.633333 & 0.008333 \tabularnewline
[400,402[ & 401 & 0 & 0 & 0.633333 & 0 \tabularnewline
[402,404[ & 403 & 0 & 0 & 0.633333 & 0 \tabularnewline
[404,406[ & 405 & 0 & 0 & 0.633333 & 0 \tabularnewline
[406,408[ & 407 & 2 & 0.033333 & 0.666667 & 0.016667 \tabularnewline
[408,410[ & 409 & 3 & 0.05 & 0.716667 & 0.025 \tabularnewline
[410,412[ & 411 & 6 & 0.1 & 0.816667 & 0.05 \tabularnewline
[412,414[ & 413 & 1 & 0.016667 & 0.833333 & 0.008333 \tabularnewline
[414,416[ & 415 & 0 & 0 & 0.833333 & 0 \tabularnewline
[416,418[ & 417 & 0 & 0 & 0.833333 & 0 \tabularnewline
[418,420[ & 419 & 0 & 0 & 0.833333 & 0 \tabularnewline
[420,422[ & 421 & 0 & 0 & 0.833333 & 0 \tabularnewline
[422,424[ & 423 & 2 & 0.033333 & 0.866667 & 0.016667 \tabularnewline
[424,426[ & 425 & 0 & 0 & 0.866667 & 0 \tabularnewline
[426,428[ & 427 & 6 & 0.1 & 0.966667 & 0.05 \tabularnewline
[428,430] & 429 & 2 & 0.033333 & 1 & 0.016667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162983&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][368,370[[/C][C]369[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.008333[/C][/ROW]
[ROW][C][370,372[[/C][C]371[/C][C]0[/C][C]0[/C][C]0.016667[/C][C]0[/C][/ROW]
[ROW][C][372,374[[/C][C]373[/C][C]1[/C][C]0.016667[/C][C]0.033333[/C][C]0.008333[/C][/ROW]
[ROW][C][374,376[[/C][C]375[/C][C]7[/C][C]0.116667[/C][C]0.15[/C][C]0.058333[/C][/ROW]
[ROW][C][376,378[[/C][C]377[/C][C]4[/C][C]0.066667[/C][C]0.216667[/C][C]0.033333[/C][/ROW]
[ROW][C][378,380[[/C][C]379[/C][C]0[/C][C]0[/C][C]0.216667[/C][C]0[/C][/ROW]
[ROW][C][380,382[[/C][C]381[/C][C]1[/C][C]0.016667[/C][C]0.233333[/C][C]0.008333[/C][/ROW]
[ROW][C][382,384[[/C][C]383[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][384,386[[/C][C]385[/C][C]0[/C][C]0[/C][C]0.233333[/C][C]0[/C][/ROW]
[ROW][C][386,388[[/C][C]387[/C][C]2[/C][C]0.033333[/C][C]0.266667[/C][C]0.016667[/C][/ROW]
[ROW][C][388,390[[/C][C]389[/C][C]9[/C][C]0.15[/C][C]0.416667[/C][C]0.075[/C][/ROW]
[ROW][C][390,392[[/C][C]391[/C][C]3[/C][C]0.05[/C][C]0.466667[/C][C]0.025[/C][/ROW]
[ROW][C][392,394[[/C][C]393[/C][C]5[/C][C]0.083333[/C][C]0.55[/C][C]0.041667[/C][/ROW]
[ROW][C][394,396[[/C][C]395[/C][C]4[/C][C]0.066667[/C][C]0.616667[/C][C]0.033333[/C][/ROW]
[ROW][C][396,398[[/C][C]397[/C][C]0[/C][C]0[/C][C]0.616667[/C][C]0[/C][/ROW]
[ROW][C][398,400[[/C][C]399[/C][C]1[/C][C]0.016667[/C][C]0.633333[/C][C]0.008333[/C][/ROW]
[ROW][C][400,402[[/C][C]401[/C][C]0[/C][C]0[/C][C]0.633333[/C][C]0[/C][/ROW]
[ROW][C][402,404[[/C][C]403[/C][C]0[/C][C]0[/C][C]0.633333[/C][C]0[/C][/ROW]
[ROW][C][404,406[[/C][C]405[/C][C]0[/C][C]0[/C][C]0.633333[/C][C]0[/C][/ROW]
[ROW][C][406,408[[/C][C]407[/C][C]2[/C][C]0.033333[/C][C]0.666667[/C][C]0.016667[/C][/ROW]
[ROW][C][408,410[[/C][C]409[/C][C]3[/C][C]0.05[/C][C]0.716667[/C][C]0.025[/C][/ROW]
[ROW][C][410,412[[/C][C]411[/C][C]6[/C][C]0.1[/C][C]0.816667[/C][C]0.05[/C][/ROW]
[ROW][C][412,414[[/C][C]413[/C][C]1[/C][C]0.016667[/C][C]0.833333[/C][C]0.008333[/C][/ROW]
[ROW][C][414,416[[/C][C]415[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][416,418[[/C][C]417[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][418,420[[/C][C]419[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][420,422[[/C][C]421[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][422,424[[/C][C]423[/C][C]2[/C][C]0.033333[/C][C]0.866667[/C][C]0.016667[/C][/ROW]
[ROW][C][424,426[[/C][C]425[/C][C]0[/C][C]0[/C][C]0.866667[/C][C]0[/C][/ROW]
[ROW][C][426,428[[/C][C]427[/C][C]6[/C][C]0.1[/C][C]0.966667[/C][C]0.05[/C][/ROW]
[ROW][C][428,430][/C][C]429[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]0.016667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162983&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
[368,370[36910.0166670.0166670.008333
[370,372[371000.0166670
[372,374[37310.0166670.0333330.008333
[374,376[37570.1166670.150.058333
[376,378[37740.0666670.2166670.033333
[378,380[379000.2166670
[380,382[38110.0166670.2333330.008333
[382,384[383000.2333330
[384,386[385000.2333330
[386,388[38720.0333330.2666670.016667
[388,390[38990.150.4166670.075
[390,392[39130.050.4666670.025
[392,394[39350.0833330.550.041667
[394,396[39540.0666670.6166670.033333
[396,398[397000.6166670
[398,400[39910.0166670.6333330.008333
[400,402[401000.6333330
[402,404[403000.6333330
[404,406[405000.6333330
[406,408[40720.0333330.6666670.016667
[408,410[40930.050.7166670.025
[410,412[41160.10.8166670.05
[412,414[41310.0166670.8333330.008333
[414,416[415000.8333330
[416,418[417000.8333330
[418,420[419000.8333330
[420,422[421000.8333330
[422,424[42320.0333330.8666670.016667
[424,426[425000.8666670
[426,428[42760.10.9666670.05
[428,430]42920.03333310.016667



Parameters (Session):
par1 = 24 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 24 ; 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')
}