Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 22 Feb 2011 10:52:54 +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/2011/Feb/22/t12983719654z2f717hil7t4at.htm/, Retrieved Wed, 15 May 2024 19:57:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=118682, Retrieved Wed, 15 May 2024 19:57:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [aantal binnengeva...] [2011-02-22 09:32:11] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [aantal binnengeva...] [2011-02-22 10:52:54] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
2367
2423
2686
2406
2438
2415
2511
2574
2579
2705
2493
2312
2389
2356
2686
2543
2556
2505
2448
2496
2417
2518
2470
2470
2504
2432
2713
2626
2585
2577
2610
2557
2571
2521
2536
2553
2280
2280
2571
2445
2598
2560
2562
2500
2522
2640
2572
2476
2476
2457
2762
2614
2672
2545
2663
2588
2626
2842
2650
2531
2563
2565
2584
2686
2765
2650
2669
2569
2542
2612
2357
2214




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ www.yougetit.org

\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 & 'Herman Ole Andreas Wold' @ www.yougetit.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118682&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]'Herman Ole Andreas Wold' @ www.yougetit.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118682&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118682&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'Herman Ole Andreas Wold' @ www.yougetit.org







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[2200,2300[225030.0416670.0416670.000417
[2300,2400[235050.0694440.1111110.000694
[2400,2500[2450150.2083330.3194440.002083
[2500,2600[2550300.4166670.7361110.004167
[2600,2700[2650140.1944440.9305560.001944
[2700,2800[275040.0555560.9861110.000556
[2800,2900]285010.01388910.000139

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2200,2300[ & 2250 & 3 & 0.041667 & 0.041667 & 0.000417 \tabularnewline
[2300,2400[ & 2350 & 5 & 0.069444 & 0.111111 & 0.000694 \tabularnewline
[2400,2500[ & 2450 & 15 & 0.208333 & 0.319444 & 0.002083 \tabularnewline
[2500,2600[ & 2550 & 30 & 0.416667 & 0.736111 & 0.004167 \tabularnewline
[2600,2700[ & 2650 & 14 & 0.194444 & 0.930556 & 0.001944 \tabularnewline
[2700,2800[ & 2750 & 4 & 0.055556 & 0.986111 & 0.000556 \tabularnewline
[2800,2900] & 2850 & 1 & 0.013889 & 1 & 0.000139 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=118682&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][2200,2300[[/C][C]2250[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.000417[/C][/ROW]
[ROW][C][2300,2400[[/C][C]2350[/C][C]5[/C][C]0.069444[/C][C]0.111111[/C][C]0.000694[/C][/ROW]
[ROW][C][2400,2500[[/C][C]2450[/C][C]15[/C][C]0.208333[/C][C]0.319444[/C][C]0.002083[/C][/ROW]
[ROW][C][2500,2600[[/C][C]2550[/C][C]30[/C][C]0.416667[/C][C]0.736111[/C][C]0.004167[/C][/ROW]
[ROW][C][2600,2700[[/C][C]2650[/C][C]14[/C][C]0.194444[/C][C]0.930556[/C][C]0.001944[/C][/ROW]
[ROW][C][2700,2800[[/C][C]2750[/C][C]4[/C][C]0.055556[/C][C]0.986111[/C][C]0.000556[/C][/ROW]
[ROW][C][2800,2900][/C][C]2850[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.000139[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=118682&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=118682&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
[2200,2300[225030.0416670.0416670.000417
[2300,2400[235050.0694440.1111110.000694
[2400,2500[2450150.2083330.3194440.002083
[2500,2600[2550300.4166670.7361110.004167
[2600,2700[2650140.1944440.9305560.001944
[2700,2800[275040.0555560.9861110.000556
[2800,2900]285010.01388910.000139



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')
}