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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 Feb 2009 07:23:02 -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/2009/Feb/12/t1234448734moaj5t27qswuks9.htm/, Retrieved Fri, 10 May 2024 02:15:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37373, Retrieved Fri, 10 May 2024 02:15:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Maandelijke produ...] [2009-02-12 14:23:02] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
155
176
180
181
208
183
185
205
180
196
183
147
128
158
186
165
191
168
171
169
157
175
156
129
89
138
146
151
156
129
146
141
137
155
147
128
92
136
159
131
134
148
146
144
161
140
141
139
94
136
164
141
159
162
154
166
156
147
161
135
98
150
173
144
167
161
156
175
163
159
167
148
119
150
161
136
166
155
140
141

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=37373&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=37373&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37373&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
[80,100[9040.050.050.0025
[100,120[11010.01250.06250.000625
[120,140[130130.16250.2250.008125
[140,160[150320.40.6250.02
[160,180[170190.23750.86250.011875
[180,200[19090.11250.9750.005625
[200,220]21020.02510.00125

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[80,100[ & 90 & 4 & 0.05 & 0.05 & 0.0025 \tabularnewline
[100,120[ & 110 & 1 & 0.0125 & 0.0625 & 0.000625 \tabularnewline
[120,140[ & 130 & 13 & 0.1625 & 0.225 & 0.008125 \tabularnewline
[140,160[ & 150 & 32 & 0.4 & 0.625 & 0.02 \tabularnewline
[160,180[ & 170 & 19 & 0.2375 & 0.8625 & 0.011875 \tabularnewline
[180,200[ & 190 & 9 & 0.1125 & 0.975 & 0.005625 \tabularnewline
[200,220] & 210 & 2 & 0.025 & 1 & 0.00125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37373&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][80,100[[/C][C]90[/C][C]4[/C][C]0.05[/C][C]0.05[/C][C]0.0025[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]1[/C][C]0.0125[/C][C]0.0625[/C][C]0.000625[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]13[/C][C]0.1625[/C][C]0.225[/C][C]0.008125[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]32[/C][C]0.4[/C][C]0.625[/C][C]0.02[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]19[/C][C]0.2375[/C][C]0.8625[/C][C]0.011875[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]9[/C][C]0.1125[/C][C]0.975[/C][C]0.005625[/C][/ROW]
[ROW][C][200,220][/C][C]210[/C][C]2[/C][C]0.025[/C][C]1[/C][C]0.00125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37373&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37373&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
[80,100[9040.050.050.0025
[100,120[11010.01250.06250.000625
[120,140[130130.16250.2250.008125
[140,160[150320.40.6250.02
[160,180[170190.23750.86250.011875
[180,200[19090.11250.9750.005625
[200,220]21020.02510.00125


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')