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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 Aug 2010 12:27:20 +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/2010/Aug/09/t1281357341szy10mjfo3egxta.htm/, Retrieved Sun, 28 Apr 2024 23:10:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78515, Retrieved Sun, 28 Apr 2024 23:10:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPlatini Olivier
Estimated Impact200

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks A - Sta...] [2010-08-09 12:27:20] [49dea061148f13f4e9d1975b9f021cec] [Current]
- RMP     [Kernel Density Estimation] [Tijdreeks A - Stap 6] [2010-08-09 13:52:01] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Quartiles] [Tijdreeks A - Stap 8] [2010-08-09 15:33:16] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Notched Boxplots] [Tijdreeks A - Stap 9] [2010-08-09 15:55:42] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Harrell-Davis Quantiles] [Tijdreeks A - Sta...] [2010-08-09 16:25:50] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Harrell-Davis Quantiles] [Tijdreeks A - Sta...] [2010-08-09 16:40:08] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Central Tendency] [Tijdreeks A - Sta...] [2010-08-09 16:56:21] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Central Tendency] [Tijdreeks A - Sta...] [2010-08-09 16:56:21] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Mean Plot] [Tijdreeks A - Sta...] [2010-08-09 18:13:28] [b220e836cf18c94d1d462a000a2d7da6]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94
93
92
90
110
109
94
84
85
85
86
88
93
94
90
91
104
103
88
79
82
88
93
89
94
96
94
92
113
122
107
98
103
110
113
110
123
124
118
117
139
146
134
121
123
122
127
122
139
136
127
123
140
146
138
120
122
115
115
102
119
114
108
102
121
109
102
95
98
92
94
90
113
111
103
90
108
99
95
91
85
72
90
90
114
115
104
93
101
90
79
75
71
61
84
87
107
99
93
74
87
71
67
61
63
52
80
84
102
93
87
72
83
72
66
64
64
47
77
79

Tables (Output of Computation)





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=78515&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=78515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78515&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[40,50[4510.0083330.0083330.000833
[50,60[5510.0083330.0166670.000833
[60,70[6570.0583330.0750.005833
[70,80[75110.0916670.1666670.009167
[80,90[85170.1416670.3083330.014167
[90,100[95310.2583330.5666670.025833
[100,110[105160.1333330.70.013333
[110,120[115150.1250.8250.0125
[120,130[125130.1083330.9333330.010833
[130,140[13550.0416670.9750.004167
[140,150]14530.02510.0025

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,50[ & 45 & 1 & 0.008333 & 0.008333 & 0.000833 \tabularnewline
[50,60[ & 55 & 1 & 0.008333 & 0.016667 & 0.000833 \tabularnewline
[60,70[ & 65 & 7 & 0.058333 & 0.075 & 0.005833 \tabularnewline
[70,80[ & 75 & 11 & 0.091667 & 0.166667 & 0.009167 \tabularnewline
[80,90[ & 85 & 17 & 0.141667 & 0.308333 & 0.014167 \tabularnewline
[90,100[ & 95 & 31 & 0.258333 & 0.566667 & 0.025833 \tabularnewline
[100,110[ & 105 & 16 & 0.133333 & 0.7 & 0.013333 \tabularnewline
[110,120[ & 115 & 15 & 0.125 & 0.825 & 0.0125 \tabularnewline
[120,130[ & 125 & 13 & 0.108333 & 0.933333 & 0.010833 \tabularnewline
[130,140[ & 135 & 5 & 0.041667 & 0.975 & 0.004167 \tabularnewline
[140,150] & 145 & 3 & 0.025 & 1 & 0.0025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78515&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][40,50[[/C][C]45[/C][C]1[/C][C]0.008333[/C][C]0.008333[/C][C]0.000833[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]1[/C][C]0.008333[/C][C]0.016667[/C][C]0.000833[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]7[/C][C]0.058333[/C][C]0.075[/C][C]0.005833[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]11[/C][C]0.091667[/C][C]0.166667[/C][C]0.009167[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]17[/C][C]0.141667[/C][C]0.308333[/C][C]0.014167[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]31[/C][C]0.258333[/C][C]0.566667[/C][C]0.025833[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]16[/C][C]0.133333[/C][C]0.7[/C][C]0.013333[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]15[/C][C]0.125[/C][C]0.825[/C][C]0.0125[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]13[/C][C]0.108333[/C][C]0.933333[/C][C]0.010833[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]5[/C][C]0.041667[/C][C]0.975[/C][C]0.004167[/C][/ROW]
[ROW][C][140,150][/C][C]145[/C][C]3[/C][C]0.025[/C][C]1[/C][C]0.0025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78515&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
[40,50[4510.0083330.0083330.000833
[50,60[5510.0083330.0166670.000833
[60,70[6570.0583330.0750.005833
[70,80[75110.0916670.1666670.009167
[80,90[85170.1416670.3083330.014167
[90,100[95310.2583330.5666670.025833
[100,110[105160.1333330.70.013333
[110,120[115150.1250.8250.0125
[120,130[125130.1083330.9333330.010833
[130,140[13550.0416670.9750.004167
[140,150]14530.02510.0025


Figures (Output of Computation)

Input Parameters & R Code

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.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')