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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 computationThu, 12 Aug 2010 10:26:14 +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/12/t1281608754zodsobllmrnf2wu.htm/, Retrieved Sat, 04 May 2024 07:05:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78668, Retrieved Sat, 04 May 2024 07:05:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2010-08-12 09:55:01] [0054c34847e75ef4340aed26951eb951]
- RMP   [Central Tendency] [] [2010-08-12 10:10:20] [0054c34847e75ef4340aed26951eb951]
- RMPD      [Histogram] [] [2010-08-12 10:26:14] [b2f7745816ee2529651d94c16ed57eed] [Current]
- RMP         [Kernel Density Estimation] [] [2010-08-12 10:31:03] [0054c34847e75ef4340aed26951eb951]
- RM D          [Notched Boxplots] [] [2010-08-12 10:35:05] [0054c34847e75ef4340aed26951eb951]
- RM D            [Harrell-Davis Quantiles] [] [2010-08-12 10:41:18] [0054c34847e75ef4340aed26951eb951]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
158
157
156
154
152
151
152
154
155
155
156
158
155
151
152
156
147
159
152
148
146
148
142
141
139
143
146
150
141
153
142
139
134
152
142
139
137
132
137
134
127
140
127
120
112
128
119
117
115
104
108
104
98
111
104
98
91
94
82
81
70
64
71
73
71
80
72
68
60
71
62
69
55
58
67
69
71
85
76
79
69
95
94
99

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78668&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78668&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78668&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,60[5520.023810.023810.002381
[60,70[6580.0952380.1190480.009524
[70,80[7590.1071430.226190.010714
[80,90[8540.0476190.273810.004762
[90,100[9570.0833330.3571430.008333
[100,110[10540.0476190.4047620.004762
[110,120[11550.0595240.4642860.005952
[120,130[12540.0476190.5119050.004762
[130,140[13580.0952380.6071430.009524
[140,150[145120.1428570.750.014286
[150,160]155210.2510.025

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,60[ & 55 & 2 & 0.02381 & 0.02381 & 0.002381 \tabularnewline
[60,70[ & 65 & 8 & 0.095238 & 0.119048 & 0.009524 \tabularnewline
[70,80[ & 75 & 9 & 0.107143 & 0.22619 & 0.010714 \tabularnewline
[80,90[ & 85 & 4 & 0.047619 & 0.27381 & 0.004762 \tabularnewline
[90,100[ & 95 & 7 & 0.083333 & 0.357143 & 0.008333 \tabularnewline
[100,110[ & 105 & 4 & 0.047619 & 0.404762 & 0.004762 \tabularnewline
[110,120[ & 115 & 5 & 0.059524 & 0.464286 & 0.005952 \tabularnewline
[120,130[ & 125 & 4 & 0.047619 & 0.511905 & 0.004762 \tabularnewline
[130,140[ & 135 & 8 & 0.095238 & 0.607143 & 0.009524 \tabularnewline
[140,150[ & 145 & 12 & 0.142857 & 0.75 & 0.014286 \tabularnewline
[150,160] & 155 & 21 & 0.25 & 1 & 0.025 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78668&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][50,60[[/C][C]55[/C][C]2[/C][C]0.02381[/C][C]0.02381[/C][C]0.002381[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]8[/C][C]0.095238[/C][C]0.119048[/C][C]0.009524[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]9[/C][C]0.107143[/C][C]0.22619[/C][C]0.010714[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]4[/C][C]0.047619[/C][C]0.27381[/C][C]0.004762[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]7[/C][C]0.083333[/C][C]0.357143[/C][C]0.008333[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]4[/C][C]0.047619[/C][C]0.404762[/C][C]0.004762[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]5[/C][C]0.059524[/C][C]0.464286[/C][C]0.005952[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]4[/C][C]0.047619[/C][C]0.511905[/C][C]0.004762[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]8[/C][C]0.095238[/C][C]0.607143[/C][C]0.009524[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]12[/C][C]0.142857[/C][C]0.75[/C][C]0.014286[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]21[/C][C]0.25[/C][C]1[/C][C]0.025[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78668&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78668&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
[50,60[5520.023810.023810.002381
[60,70[6580.0952380.1190480.009524
[70,80[7590.1071430.226190.010714
[80,90[8540.0476190.273810.004762
[90,100[9570.0833330.3571430.008333
[100,110[10540.0476190.4047620.004762
[110,120[11550.0595240.4642860.005952
[120,130[12540.0476190.5119050.004762
[130,140[13580.0952380.6071430.009524
[140,150[145120.1428570.750.014286
[150,160]155210.2510.025


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')