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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 14:43:29 +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/t1281365000bvdsl78kxvkkna0.htm/, Retrieved Sun, 28 Apr 2024 23:07:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78524, Retrieved Sun, 28 Apr 2024 23:07:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSchrauwen Nathalie
Estimated Impact199

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [TIJDREEKS B - STAP 2] [2010-08-09 14:43:29] [dd2ef098fd65ce7e9f689caa343b799f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
162
161
160
158
156
155
156
158
159
159
160
162
168
177
174
169
169
160
168
172
173
175
170
177
187
201
188
179
176
170
179
183
174
177
170
166
171
178
165
162
159
149
153
156
149
150
139
131
141
150
128
124
120
113
120
121
115
119
106
98
106
116
93
94
90
93
100
99
90
91
83
83
92
104
71
69
67
75
86
81
88
87
77
70

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'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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78524&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78524&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78524&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,80[7060.0714290.0714290.003571
[80,100[90150.1785710.250.008929
[100,120[11080.0952380.3452380.004762
[120,140[13070.0833330.4285710.004167
[140,160[150150.1785710.6071430.008929
[160,180[170290.3452380.9523810.017262
[180,200[19030.0357140.9880950.001786
[200,220]21010.01190510.000595

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 6 & 0.071429 & 0.071429 & 0.003571 \tabularnewline
[80,100[ & 90 & 15 & 0.178571 & 0.25 & 0.008929 \tabularnewline
[100,120[ & 110 & 8 & 0.095238 & 0.345238 & 0.004762 \tabularnewline
[120,140[ & 130 & 7 & 0.083333 & 0.428571 & 0.004167 \tabularnewline
[140,160[ & 150 & 15 & 0.178571 & 0.607143 & 0.008929 \tabularnewline
[160,180[ & 170 & 29 & 0.345238 & 0.952381 & 0.017262 \tabularnewline
[180,200[ & 190 & 3 & 0.035714 & 0.988095 & 0.001786 \tabularnewline
[200,220] & 210 & 1 & 0.011905 & 1 & 0.000595 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78524&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][60,80[[/C][C]70[/C][C]6[/C][C]0.071429[/C][C]0.071429[/C][C]0.003571[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]15[/C][C]0.178571[/C][C]0.25[/C][C]0.008929[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]8[/C][C]0.095238[/C][C]0.345238[/C][C]0.004762[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]7[/C][C]0.083333[/C][C]0.428571[/C][C]0.004167[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]15[/C][C]0.178571[/C][C]0.607143[/C][C]0.008929[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]29[/C][C]0.345238[/C][C]0.952381[/C][C]0.017262[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]3[/C][C]0.035714[/C][C]0.988095[/C][C]0.001786[/C][/ROW]
[ROW][C][200,220][/C][C]210[/C][C]1[/C][C]0.011905[/C][C]1[/C][C]0.000595[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78524&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78524&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
[60,80[7060.0714290.0714290.003571
[80,100[90150.1785710.250.008929
[100,120[11080.0952380.3452380.004762
[120,140[13070.0833330.4285710.004167
[140,160[150150.1785710.6071430.008929
[160,180[170290.3452380.9523810.017262
[180,200[19030.0357140.9880950.001786
[200,220]21010.01190510.000595


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')