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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 09 Mar 2009 09:24:09 -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/09/t1236612324u0czpwzkg5kxths.htm/, Retrieved Sun, 28 Apr 2024 21:37:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38775, Retrieved Sun, 28 Apr 2024 21:37:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Verkoopreeks - aa...] [2009-03-09 15:24:09] [692360aaa1f674665b2fba1990ff39d8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
59
73
72
62
58
55
56
52
52
43
37
43
55
68
68
64
65
57
59
54
57
43
42
52
51
58
60
61
58
62
61
49
51
47
40
45
50
58
52
50
50
46
46
38
37
34
29
30
40
46
46
47
47
43
46
37
41
39
36
48
55
56
53
52
53
52
56
51
48
42
42
44
50
60
66
58
59
55
57
57
56
53
51
45
58
74
65
65
55
52
59
54
57
45
40
47
47
60
58
63
64
64
63
55
54
44

Tables (Output of Computation)





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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38775&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38775&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38775&T=0

As an alternative you can also use a QR Code:  
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' @ 72.249.76.132






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[28,30[2910.0093460.0093460.004673
[30,32[3110.0093460.0186920.004673
[32,34[33000.0186920
[34,36[3510.0093460.0280370.004673
[36,38[3740.0373830.0654210.018692
[38,40[3920.0186920.0841120.009346
[40,42[4140.0373830.1214950.018692
[42,44[4370.0654210.1869160.03271
[44,46[4550.0467290.2336450.023364
[46,48[47100.0934580.3271030.046729
[48,50[4930.0280370.355140.014019
[50,52[5180.0747660.4299070.037383
[52,54[53110.1028040.532710.051402
[54,56[5590.0841120.6168220.042056
[56,58[5790.0841120.7009350.042056
[58,60[59110.1028040.8037380.051402
[60,62[6150.0467290.8504670.023364
[62,64[6340.0373830.887850.018692
[64,66[6560.0560750.9439250.028037
[66,68[6710.0093460.9532710.004673
[68,70[6920.0186920.9719630.009346
[70,72[71000.9719630
[72,74]7330.02803710.014019

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[28,30[ & 29 & 1 & 0.009346 & 0.009346 & 0.004673 \tabularnewline
[30,32[ & 31 & 1 & 0.009346 & 0.018692 & 0.004673 \tabularnewline
[32,34[ & 33 & 0 & 0 & 0.018692 & 0 \tabularnewline
[34,36[ & 35 & 1 & 0.009346 & 0.028037 & 0.004673 \tabularnewline
[36,38[ & 37 & 4 & 0.037383 & 0.065421 & 0.018692 \tabularnewline
[38,40[ & 39 & 2 & 0.018692 & 0.084112 & 0.009346 \tabularnewline
[40,42[ & 41 & 4 & 0.037383 & 0.121495 & 0.018692 \tabularnewline
[42,44[ & 43 & 7 & 0.065421 & 0.186916 & 0.03271 \tabularnewline
[44,46[ & 45 & 5 & 0.046729 & 0.233645 & 0.023364 \tabularnewline
[46,48[ & 47 & 10 & 0.093458 & 0.327103 & 0.046729 \tabularnewline
[48,50[ & 49 & 3 & 0.028037 & 0.35514 & 0.014019 \tabularnewline
[50,52[ & 51 & 8 & 0.074766 & 0.429907 & 0.037383 \tabularnewline
[52,54[ & 53 & 11 & 0.102804 & 0.53271 & 0.051402 \tabularnewline
[54,56[ & 55 & 9 & 0.084112 & 0.616822 & 0.042056 \tabularnewline
[56,58[ & 57 & 9 & 0.084112 & 0.700935 & 0.042056 \tabularnewline
[58,60[ & 59 & 11 & 0.102804 & 0.803738 & 0.051402 \tabularnewline
[60,62[ & 61 & 5 & 0.046729 & 0.850467 & 0.023364 \tabularnewline
[62,64[ & 63 & 4 & 0.037383 & 0.88785 & 0.018692 \tabularnewline
[64,66[ & 65 & 6 & 0.056075 & 0.943925 & 0.028037 \tabularnewline
[66,68[ & 67 & 1 & 0.009346 & 0.953271 & 0.004673 \tabularnewline
[68,70[ & 69 & 2 & 0.018692 & 0.971963 & 0.009346 \tabularnewline
[70,72[ & 71 & 0 & 0 & 0.971963 & 0 \tabularnewline
[72,74] & 73 & 3 & 0.028037 & 1 & 0.014019 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38775&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][28,30[[/C][C]29[/C][C]1[/C][C]0.009346[/C][C]0.009346[/C][C]0.004673[/C][/ROW]
[ROW][C][30,32[[/C][C]31[/C][C]1[/C][C]0.009346[/C][C]0.018692[/C][C]0.004673[/C][/ROW]
[ROW][C][32,34[[/C][C]33[/C][C]0[/C][C]0[/C][C]0.018692[/C][C]0[/C][/ROW]
[ROW][C][34,36[[/C][C]35[/C][C]1[/C][C]0.009346[/C][C]0.028037[/C][C]0.004673[/C][/ROW]
[ROW][C][36,38[[/C][C]37[/C][C]4[/C][C]0.037383[/C][C]0.065421[/C][C]0.018692[/C][/ROW]
[ROW][C][38,40[[/C][C]39[/C][C]2[/C][C]0.018692[/C][C]0.084112[/C][C]0.009346[/C][/ROW]
[ROW][C][40,42[[/C][C]41[/C][C]4[/C][C]0.037383[/C][C]0.121495[/C][C]0.018692[/C][/ROW]
[ROW][C][42,44[[/C][C]43[/C][C]7[/C][C]0.065421[/C][C]0.186916[/C][C]0.03271[/C][/ROW]
[ROW][C][44,46[[/C][C]45[/C][C]5[/C][C]0.046729[/C][C]0.233645[/C][C]0.023364[/C][/ROW]
[ROW][C][46,48[[/C][C]47[/C][C]10[/C][C]0.093458[/C][C]0.327103[/C][C]0.046729[/C][/ROW]
[ROW][C][48,50[[/C][C]49[/C][C]3[/C][C]0.028037[/C][C]0.35514[/C][C]0.014019[/C][/ROW]
[ROW][C][50,52[[/C][C]51[/C][C]8[/C][C]0.074766[/C][C]0.429907[/C][C]0.037383[/C][/ROW]
[ROW][C][52,54[[/C][C]53[/C][C]11[/C][C]0.102804[/C][C]0.53271[/C][C]0.051402[/C][/ROW]
[ROW][C][54,56[[/C][C]55[/C][C]9[/C][C]0.084112[/C][C]0.616822[/C][C]0.042056[/C][/ROW]
[ROW][C][56,58[[/C][C]57[/C][C]9[/C][C]0.084112[/C][C]0.700935[/C][C]0.042056[/C][/ROW]
[ROW][C][58,60[[/C][C]59[/C][C]11[/C][C]0.102804[/C][C]0.803738[/C][C]0.051402[/C][/ROW]
[ROW][C][60,62[[/C][C]61[/C][C]5[/C][C]0.046729[/C][C]0.850467[/C][C]0.023364[/C][/ROW]
[ROW][C][62,64[[/C][C]63[/C][C]4[/C][C]0.037383[/C][C]0.88785[/C][C]0.018692[/C][/ROW]
[ROW][C][64,66[[/C][C]65[/C][C]6[/C][C]0.056075[/C][C]0.943925[/C][C]0.028037[/C][/ROW]
[ROW][C][66,68[[/C][C]67[/C][C]1[/C][C]0.009346[/C][C]0.953271[/C][C]0.004673[/C][/ROW]
[ROW][C][68,70[[/C][C]69[/C][C]2[/C][C]0.018692[/C][C]0.971963[/C][C]0.009346[/C][/ROW]
[ROW][C][70,72[[/C][C]71[/C][C]0[/C][C]0[/C][C]0.971963[/C][C]0[/C][/ROW]
[ROW][C][72,74][/C][C]73[/C][C]3[/C][C]0.028037[/C][C]1[/C][C]0.014019[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38775&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38775&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[28,30[2910.0093460.0093460.004673
[30,32[3110.0093460.0186920.004673
[32,34[33000.0186920
[34,36[3510.0093460.0280370.004673
[36,38[3740.0373830.0654210.018692
[38,40[3920.0186920.0841120.009346
[40,42[4140.0373830.1214950.018692
[42,44[4370.0654210.1869160.03271
[44,46[4550.0467290.2336450.023364
[46,48[47100.0934580.3271030.046729
[48,50[4930.0280370.355140.014019
[50,52[5180.0747660.4299070.037383
[52,54[53110.1028040.532710.051402
[54,56[5590.0841120.6168220.042056
[56,58[5790.0841120.7009350.042056
[58,60[59110.1028040.8037380.051402
[60,62[6150.0467290.8504670.023364
[62,64[6340.0373830.887850.018692
[64,66[6560.0560750.9439250.028037
[66,68[6710.0093460.9532710.004673
[68,70[6920.0186920.9719630.009346
[70,72[71000.9719630
[72,74]7330.02803710.014019


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; 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')