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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 02 Mar 2009 12:24:48 -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/Mar/02/t123602196296jhxxy2efqgs3t.htm/, Retrieved Thu, 28 Mar 2024 08:56:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38389, Retrieved Thu, 28 Mar 2024 08:56:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [frequentietabel -...] [2009-03-02 19:24:48] [0a84de457909cca15eb6b2ba0b435788] [Current]
-         [Histogram] [frequentietabel -...] [2009-03-03 12:56:52] [99f6c4b9e885e3e57c317faa68b4b080]
- RMPD    [Kernel Density Estimation] [dichtheidsgrafiek...] [2009-03-03 13:28:36] [99f6c4b9e885e3e57c317faa68b4b080]
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Dataseries X:
164
148
152
144
155
125
153
146
138
190
192
192
147
133
163
150
129
131
145
137
138
168
176
188
139
143
150
154
137
129
128
140
143
151
177
184
151
134
164
126
131
125
127
143
143
160
190
182
138
136
152
127
151
130
119
153




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=38389&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=38389&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38389&T=0

As an alternative you can also use a 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
[110,120[11510.0178570.0178570.001786
[120,130[12580.1428570.1607140.014286
[130,140[135120.2142860.3750.021429
[140,150[145100.1785710.5535710.017857
[150,160[155110.1964290.750.019643
[160,170[16550.0892860.8392860.008929
[170,180[17520.0357140.8750.003571
[180,190[18530.0535710.9285710.005357
[190,200]19540.07142910.007143

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[110,120[ & 115 & 1 & 0.017857 & 0.017857 & 0.001786 \tabularnewline
[120,130[ & 125 & 8 & 0.142857 & 0.160714 & 0.014286 \tabularnewline
[130,140[ & 135 & 12 & 0.214286 & 0.375 & 0.021429 \tabularnewline
[140,150[ & 145 & 10 & 0.178571 & 0.553571 & 0.017857 \tabularnewline
[150,160[ & 155 & 11 & 0.196429 & 0.75 & 0.019643 \tabularnewline
[160,170[ & 165 & 5 & 0.089286 & 0.839286 & 0.008929 \tabularnewline
[170,180[ & 175 & 2 & 0.035714 & 0.875 & 0.003571 \tabularnewline
[180,190[ & 185 & 3 & 0.053571 & 0.928571 & 0.005357 \tabularnewline
[190,200] & 195 & 4 & 0.071429 & 1 & 0.007143 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38389&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][110,120[[/C][C]115[/C][C]1[/C][C]0.017857[/C][C]0.017857[/C][C]0.001786[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]8[/C][C]0.142857[/C][C]0.160714[/C][C]0.014286[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]12[/C][C]0.214286[/C][C]0.375[/C][C]0.021429[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]10[/C][C]0.178571[/C][C]0.553571[/C][C]0.017857[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]11[/C][C]0.196429[/C][C]0.75[/C][C]0.019643[/C][/ROW]
[ROW][C][160,170[[/C][C]165[/C][C]5[/C][C]0.089286[/C][C]0.839286[/C][C]0.008929[/C][/ROW]
[ROW][C][170,180[[/C][C]175[/C][C]2[/C][C]0.035714[/C][C]0.875[/C][C]0.003571[/C][/ROW]
[ROW][C][180,190[[/C][C]185[/C][C]3[/C][C]0.053571[/C][C]0.928571[/C][C]0.005357[/C][/ROW]
[ROW][C][190,200][/C][C]195[/C][C]4[/C][C]0.071429[/C][C]1[/C][C]0.007143[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38389&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38389&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[110,120[11510.0178570.0178570.001786
[120,130[12580.1428570.1607140.014286
[130,140[135120.2142860.3750.021429
[140,150[145100.1785710.5535710.017857
[150,160[155110.1964290.750.019643
[160,170[16550.0892860.8392860.008929
[170,180[17520.0357140.8750.003571
[180,190[18530.0535710.9285710.005357
[190,200]19540.07142910.007143



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')