Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 09 Oct 2009 09:20:49 -0600
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/Oct/09/t1255101758z6gr0aplnjhq4d3.htm/, Retrieved Tue, 06 Dec 2022 20:38:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=45104, Retrieved Tue, 06 Dec 2022 20:38:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-10-09 13:59:35] [2186dd2f385e1ccfa008ccec8e23764c]
- RMPD    [Histogram] [] [2009-10-09 15:20:49] [ab5cffebaafedfca74d2c063d2ba2ba4] [Current]
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Dataseries X:
100.7
105.9
115.4
113.9
121.5
119.5
115.8
116.3
113.5
110.7
116.9
141.1
101.8
102.9
119
112.8
120.9
123.1
121.9
119.4
110.9
116.8
120.6
143.3
106.4
106.9
125.6
110.9
127
124.3
121.3
124.4
113.2
120.2
122.6
143.3
106.5
105.9
114
121.6
119.7
122.5
126.5
118.2
115.5
120.1
115.3
146.5
107.7
106.3
121.8
115.8
115.4
124.3
121.7
118.7
113.5
113.4
115.1
144.2
100.9
103.2
121.3
111.9
117.3
124.2
122
119.6
114.9
112.2
115.3
143
104
105.3
124.3
114.1
124.8
131.9
125.8
125.2
119.8
116.2
120.2
148.6
109.4
109.6
135.2
115.2
129.1
138.8
126
130.7
120.5
126.5
128
151.7
114.8
118.9
131.5
124.8
137
137.1
137
131.3
126
129.7
125.1
157.8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=45104&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=45104&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=45104&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[100,110[105160.1481480.1481480.014815
[110,120[115380.3518520.50.035185
[120,130[125360.3333330.8333330.033333
[130,140[13590.0833330.9166670.008333
[140,150[14570.0648150.9814810.006481
[150,160]15520.01851910.001852

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[100,110[ & 105 & 16 & 0.148148 & 0.148148 & 0.014815 \tabularnewline
[110,120[ & 115 & 38 & 0.351852 & 0.5 & 0.035185 \tabularnewline
[120,130[ & 125 & 36 & 0.333333 & 0.833333 & 0.033333 \tabularnewline
[130,140[ & 135 & 9 & 0.083333 & 0.916667 & 0.008333 \tabularnewline
[140,150[ & 145 & 7 & 0.064815 & 0.981481 & 0.006481 \tabularnewline
[150,160] & 155 & 2 & 0.018519 & 1 & 0.001852 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=45104&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][100,110[[/C][C]105[/C][C]16[/C][C]0.148148[/C][C]0.148148[/C][C]0.014815[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]38[/C][C]0.351852[/C][C]0.5[/C][C]0.035185[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]36[/C][C]0.333333[/C][C]0.833333[/C][C]0.033333[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]9[/C][C]0.083333[/C][C]0.916667[/C][C]0.008333[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]7[/C][C]0.064815[/C][C]0.981481[/C][C]0.006481[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]2[/C][C]0.018519[/C][C]1[/C][C]0.001852[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=45104&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=45104&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
[100,110[105160.1481480.1481480.014815
[110,120[115380.3518520.50.035185
[120,130[125360.3333330.8333330.033333
[130,140[13590.0833330.9166670.008333
[140,150[14570.0648150.9814810.006481
[150,160]15520.01851910.001852



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')