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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 13 Feb 2010 02:31:06 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Feb/13/t1266053775w6ztjg1yp124shp.htm/, Retrieved Thu, 25 Apr 2024 17:06:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73009, Retrieved Thu, 25 Apr 2024 17:06:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact217
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Frequentietabel -...] [2010-02-13 09:31:06] [83074fc8d74b78a4134c1b297ef86df5] [Current]
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Dataseries X:
20
25
15
15
25
25
25
21
30
25
20
40
13
30
25
20
25
20
25
20
20
15
15
12
20
5
20
15
25
22
20
22
25
20
20
35
30
25
20
20
20
25
25
15
20
35
25
25
30
23
10
22
25
25
22
30
20
25
25
22
25
25
25
22
25
12
18
20
20
22
30
25
22
20
50
30
25
20
30
22
25
30
22
25
22
22
25
25
25
20
22
15
20
30
20
25
30
35
22
12
30
15
10
30
9
25
20
20
35
25
35
30
12
25
15
25
25
20
20
6
15
40
20
40
25
25
20
15
15
22
24
22
20
25
25
25
35
40
20
22
22
20
25
25
18
25
20
25
30
20
22
35
22
25
25
25
25
22
23
35
15
25
18
22
25
25
28
30
20
25
25
30
22
30
10
10
25
20
22
25
25
15
22
25
25
28
22
30
25
20
25
25
20
30
20
30
50
19
20
28
20
25
35
25
25
15
16
20
20
25
30
20
25
25
25
20
20
25
25
30
22
20
25
25
18
18
20
25
25
30
25
20
25
20
20
20
22
18
22
20
15
25
25
20
25
15
22
25
25
15
12
25
30
22
15
22
25
12
18
30
25
25
40
24
25
15
25
20
25
25
25
20
30
20
25
30
22
25
25
25
50
19
50
25
35
20
20
20
20
20
25
25
25
20
20
20
20
25
18
25
22
22
30
30
8
20
25
30
50
22
20
10
25
25
25
25
18
25
20
25
30
18
20
25
22
22
20
20
25
20
20
20
20
25
20
10
20
25
30
25
50
30
30
50
15
25
25
22
20
22
30
25
18
22
22
30
40
25
20
10
20
9
15
20
15
20
30
12
15
12
20
15
12
25
20
25
25
25
30
20
25
15
15
22
10
15
10
20
25
20
20
38
20
20
20
40
25
25
30
25
10
20
25
12
15
25
20
22
22
20
25
25
25
15
40
20
20
16
25
15
20
25
20
30
50
20
25
20
30
30
25
25
12
25
25
25
20
20
20
15
20
25
15
25
50
30
20
20
25
12
15
20
20
35
22
15
18
30
22
12
12
20
20
15
25
15
20
20
25
18
30
20
25
25
25
20
20
25
20
22
15
15
22
20
10
25
20
20
15
12
20
5
20
15
15
25
25
25
15
25
22
25
20
18
22
25
35
25
25
25
35
30
22
30
50
15
25
24
20
25
25
25
12
15
22
25
25
25
25
15
20
20
15
35
30
20
22
65
20
25
22
20
25
25
20
25
15
20
12
15
10
25
15
30
35
25
25
25
25
25
40
40
25
25
20
25
25
22
25
30
25
25
30
25
25
30
25
25
20
22
22
20
25
22
25
22
40
25
25
25
22
20
35
20
35
25
22
25
25
25
25
25
40
25
30
25
20
25
25
30
22
22
20
15
15
25
25
20
20
15
25
15
20
22
25
15
15
18
5
15
25
18
40
25
25
20
30
20
25
25
25
22
22
25
25
30
25
25
25
25
20
20
25
25
25
25
20
30
25
22
30
20
20
30
25
25
30
20
25
25
24
25
30
18
15
22
22
25
22
22
25
15
20
22
18
35
20
20
20
25
25
30
15
25
22
26
25
20
25
25
25
22
25
25
20
22
30
15
30
25
20
25
25
35
22
20
25
20
20
18
20
22
25
10
20
25
20
20
30
25
20
15
20
25
10
20
25
22
22
25
25
15
25
20
10
25
16
25
35
25
15
25
25
30
25
10
22
20
25
20
20
25
22
18
30
19
25
20
25
20
25
20
22
12
30
12
22
25
25
25
25
30
30
10
22
22
25
20
22
20
25
20
15
25
20
25
20
30
15
40
25
20
22
22
30
20
40
20
25
20
25
20
50
50
25
25
40
30
22
30
20
25
25
30
25
25
20
18
18
28
25
22
15
40
40
12
12
18
12
25
26
18
25
22
15
25
15
15
15
25
15
12
22
20
20
25
20
12
9
15
12
15
25
20
20
15
15
30
21
25
22
22
50
15
25
15
25
22
18
50
20
50
20
20
30
25
20
22
25
50
40
25
25
25
25
30
40
25
30
20




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73009&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73009&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73009&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'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4,6]540.0044440.0044440.002222
]6,8]710.0011110.0055560.000556
]8,10]9200.0222220.0277780.011111
]10,12]11250.0277780.0555560.013889
]12,14]1310.0011110.0566670.000556
]14,16]15810.090.1466670.045
]16,18]17250.0277780.1744440.013889
]18,20]191980.220.3944440.11
]20,22]21990.110.5044440.055
]22,24]2360.0066670.5111110.003333
]24,26]252980.3311110.8422220.165556
]26,28]2740.0044440.8466670.002222
]28,30]29800.0888890.9355560.044444
]30,32]31000.9355560
]32,34]33000.9355560
]34,36]35200.0222220.9577780.011111
]36,38]3710.0011110.9588890.000556
]38,40]39200.0222220.9811110.011111
]40,42]41000.9811110
]42,44]43000.9811110
]44,46]45000.9811110
]46,48]47000.9811110
]48,50]49160.0177780.9988890.008889
]50,52]51000.9988890
]52,54]53000.9988890
]54,56]55000.9988890
]56,58]57000.9988890
]58,60]59000.9988890
]60,62]61000.9988890
]62,64]63000.9988890
]64,66]6510.00111110.000556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6] & 5 & 4 & 0.004444 & 0.004444 & 0.002222 \tabularnewline
]6,8] & 7 & 1 & 0.001111 & 0.005556 & 0.000556 \tabularnewline
]8,10] & 9 & 20 & 0.022222 & 0.027778 & 0.011111 \tabularnewline
]10,12] & 11 & 25 & 0.027778 & 0.055556 & 0.013889 \tabularnewline
]12,14] & 13 & 1 & 0.001111 & 0.056667 & 0.000556 \tabularnewline
]14,16] & 15 & 81 & 0.09 & 0.146667 & 0.045 \tabularnewline
]16,18] & 17 & 25 & 0.027778 & 0.174444 & 0.013889 \tabularnewline
]18,20] & 19 & 198 & 0.22 & 0.394444 & 0.11 \tabularnewline
]20,22] & 21 & 99 & 0.11 & 0.504444 & 0.055 \tabularnewline
]22,24] & 23 & 6 & 0.006667 & 0.511111 & 0.003333 \tabularnewline
]24,26] & 25 & 298 & 0.331111 & 0.842222 & 0.165556 \tabularnewline
]26,28] & 27 & 4 & 0.004444 & 0.846667 & 0.002222 \tabularnewline
]28,30] & 29 & 80 & 0.088889 & 0.935556 & 0.044444 \tabularnewline
]30,32] & 31 & 0 & 0 & 0.935556 & 0 \tabularnewline
]32,34] & 33 & 0 & 0 & 0.935556 & 0 \tabularnewline
]34,36] & 35 & 20 & 0.022222 & 0.957778 & 0.011111 \tabularnewline
]36,38] & 37 & 1 & 0.001111 & 0.958889 & 0.000556 \tabularnewline
]38,40] & 39 & 20 & 0.022222 & 0.981111 & 0.011111 \tabularnewline
]40,42] & 41 & 0 & 0 & 0.981111 & 0 \tabularnewline
]42,44] & 43 & 0 & 0 & 0.981111 & 0 \tabularnewline
]44,46] & 45 & 0 & 0 & 0.981111 & 0 \tabularnewline
]46,48] & 47 & 0 & 0 & 0.981111 & 0 \tabularnewline
]48,50] & 49 & 16 & 0.017778 & 0.998889 & 0.008889 \tabularnewline
]50,52] & 51 & 0 & 0 & 0.998889 & 0 \tabularnewline
]52,54] & 53 & 0 & 0 & 0.998889 & 0 \tabularnewline
]54,56] & 55 & 0 & 0 & 0.998889 & 0 \tabularnewline
]56,58] & 57 & 0 & 0 & 0.998889 & 0 \tabularnewline
]58,60] & 59 & 0 & 0 & 0.998889 & 0 \tabularnewline
]60,62] & 61 & 0 & 0 & 0.998889 & 0 \tabularnewline
]62,64] & 63 & 0 & 0 & 0.998889 & 0 \tabularnewline
]64,66] & 65 & 1 & 0.001111 & 1 & 0.000556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73009&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][4,6][/C][C]5[/C][C]4[/C][C]0.004444[/C][C]0.004444[/C][C]0.002222[/C][/ROW]
[ROW][C]]6,8][/C][C]7[/C][C]1[/C][C]0.001111[/C][C]0.005556[/C][C]0.000556[/C][/ROW]
[ROW][C]]8,10][/C][C]9[/C][C]20[/C][C]0.022222[/C][C]0.027778[/C][C]0.011111[/C][/ROW]
[ROW][C]]10,12][/C][C]11[/C][C]25[/C][C]0.027778[/C][C]0.055556[/C][C]0.013889[/C][/ROW]
[ROW][C]]12,14][/C][C]13[/C][C]1[/C][C]0.001111[/C][C]0.056667[/C][C]0.000556[/C][/ROW]
[ROW][C]]14,16][/C][C]15[/C][C]81[/C][C]0.09[/C][C]0.146667[/C][C]0.045[/C][/ROW]
[ROW][C]]16,18][/C][C]17[/C][C]25[/C][C]0.027778[/C][C]0.174444[/C][C]0.013889[/C][/ROW]
[ROW][C]]18,20][/C][C]19[/C][C]198[/C][C]0.22[/C][C]0.394444[/C][C]0.11[/C][/ROW]
[ROW][C]]20,22][/C][C]21[/C][C]99[/C][C]0.11[/C][C]0.504444[/C][C]0.055[/C][/ROW]
[ROW][C]]22,24][/C][C]23[/C][C]6[/C][C]0.006667[/C][C]0.511111[/C][C]0.003333[/C][/ROW]
[ROW][C]]24,26][/C][C]25[/C][C]298[/C][C]0.331111[/C][C]0.842222[/C][C]0.165556[/C][/ROW]
[ROW][C]]26,28][/C][C]27[/C][C]4[/C][C]0.004444[/C][C]0.846667[/C][C]0.002222[/C][/ROW]
[ROW][C]]28,30][/C][C]29[/C][C]80[/C][C]0.088889[/C][C]0.935556[/C][C]0.044444[/C][/ROW]
[ROW][C]]30,32][/C][C]31[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C]]32,34][/C][C]33[/C][C]0[/C][C]0[/C][C]0.935556[/C][C]0[/C][/ROW]
[ROW][C]]34,36][/C][C]35[/C][C]20[/C][C]0.022222[/C][C]0.957778[/C][C]0.011111[/C][/ROW]
[ROW][C]]36,38][/C][C]37[/C][C]1[/C][C]0.001111[/C][C]0.958889[/C][C]0.000556[/C][/ROW]
[ROW][C]]38,40][/C][C]39[/C][C]20[/C][C]0.022222[/C][C]0.981111[/C][C]0.011111[/C][/ROW]
[ROW][C]]40,42][/C][C]41[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C]]42,44][/C][C]43[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C]]44,46][/C][C]45[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C]]46,48][/C][C]47[/C][C]0[/C][C]0[/C][C]0.981111[/C][C]0[/C][/ROW]
[ROW][C]]48,50][/C][C]49[/C][C]16[/C][C]0.017778[/C][C]0.998889[/C][C]0.008889[/C][/ROW]
[ROW][C]]50,52][/C][C]51[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]52,54][/C][C]53[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]54,56][/C][C]55[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]56,58][/C][C]57[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]58,60][/C][C]59[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]60,62][/C][C]61[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]62,64][/C][C]63[/C][C]0[/C][C]0[/C][C]0.998889[/C][C]0[/C][/ROW]
[ROW][C]]64,66][/C][C]65[/C][C]1[/C][C]0.001111[/C][C]1[/C][C]0.000556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73009&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73009&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
[4,6]540.0044440.0044440.002222
]6,8]710.0011110.0055560.000556
]8,10]9200.0222220.0277780.011111
]10,12]11250.0277780.0555560.013889
]12,14]1310.0011110.0566670.000556
]14,16]15810.090.1466670.045
]16,18]17250.0277780.1744440.013889
]18,20]191980.220.3944440.11
]20,22]21990.110.5044440.055
]22,24]2360.0066670.5111110.003333
]24,26]252980.3311110.8422220.165556
]26,28]2740.0044440.8466670.002222
]28,30]29800.0888890.9355560.044444
]30,32]31000.9355560
]32,34]33000.9355560
]34,36]35200.0222220.9577780.011111
]36,38]3710.0011110.9588890.000556
]38,40]39200.0222220.9811110.011111
]40,42]41000.9811110
]42,44]43000.9811110
]44,46]45000.9811110
]46,48]47000.9811110
]48,50]49160.0177780.9988890.008889
]50,52]51000.9988890
]52,54]53000.9988890
]54,56]55000.9988890
]56,58]57000.9988890
]58,60]59000.9988890
]60,62]61000.9988890
]62,64]63000.9988890
]64,66]6510.00111110.000556



Parameters (Session):
par1 = 33 ; par2 = grey ; par3 = TRUE ; par4 = Unknown ;
Parameters (R input):
par1 = 33 ; par2 = grey ; par3 = TRUE ; 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')