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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 23 Sep 2008 04:41:43 -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/2008/Sep/23/t1222166754d8peq7vp7nmx3s6.htm/, Retrieved Sat, 18 May 2024 15:52:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14747, Retrieved Sat, 18 May 2024 15:52:25 +0000
QR Codes:

Original text written by user:Ik vond mijn tijdreeks op belgostat.be. Ik vind het interessant om de evolutie van de wisselkoersverhouding euro-dollar over de laatste jaren te zien. Bijv.: hoe de dollarwaarde reageerde op rampen zoals de orkaan Katrina in 2006. Maar deze reeks kwam me ook goed uit omdat we na de invoering van de euro (in 2002) weeral zo’n 6 jaar verder zijn en deze tijdspanne me dus ongeveer genoeg gegevens oplevert om aan het vereiste aantal te komen.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact284

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Koers euro-dollar...] [2008-09-23 10:41:43] [314f9a525820ae2bc37b608258bd4c0b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14747&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14747&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14747&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'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0.9,1[0.9520.0277780.0277780.277778
[1,1.1[1.0560.0833330.1111110.833333
[1.1,1.2[1.15110.1527780.2638891.527778
[1.2,1.3[1.25290.4027780.6666674.027778
[1.3,1.4[1.35130.1805560.8472221.805556
[1.4,1.5[1.4560.0833330.9305560.833333
[1.5,1.6]1.5550.06944410.694444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0.9,1[ & 0.95 & 2 & 0.027778 & 0.027778 & 0.277778 \tabularnewline
[1,1.1[ & 1.05 & 6 & 0.083333 & 0.111111 & 0.833333 \tabularnewline
[1.1,1.2[ & 1.15 & 11 & 0.152778 & 0.263889 & 1.527778 \tabularnewline
[1.2,1.3[ & 1.25 & 29 & 0.402778 & 0.666667 & 4.027778 \tabularnewline
[1.3,1.4[ & 1.35 & 13 & 0.180556 & 0.847222 & 1.805556 \tabularnewline
[1.4,1.5[ & 1.45 & 6 & 0.083333 & 0.930556 & 0.833333 \tabularnewline
[1.5,1.6] & 1.55 & 5 & 0.069444 & 1 & 0.694444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14747&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][0.9,1[[/C][C]0.95[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.277778[/C][/ROW]
[ROW][C][1,1.1[[/C][C]1.05[/C][C]6[/C][C]0.083333[/C][C]0.111111[/C][C]0.833333[/C][/ROW]
[ROW][C][1.1,1.2[[/C][C]1.15[/C][C]11[/C][C]0.152778[/C][C]0.263889[/C][C]1.527778[/C][/ROW]
[ROW][C][1.2,1.3[[/C][C]1.25[/C][C]29[/C][C]0.402778[/C][C]0.666667[/C][C]4.027778[/C][/ROW]
[ROW][C][1.3,1.4[[/C][C]1.35[/C][C]13[/C][C]0.180556[/C][C]0.847222[/C][C]1.805556[/C][/ROW]
[ROW][C][1.4,1.5[[/C][C]1.45[/C][C]6[/C][C]0.083333[/C][C]0.930556[/C][C]0.833333[/C][/ROW]
[ROW][C][1.5,1.6][/C][C]1.55[/C][C]5[/C][C]0.069444[/C][C]1[/C][C]0.694444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14747&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14747&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
[0.9,1[0.9520.0277780.0277780.277778
[1,1.1[1.0560.0833330.1111110.833333
[1.1,1.2[1.15110.1527780.2638891.527778
[1.2,1.3[1.25290.4027780.6666674.027778
[1.3,1.4[1.35130.1805560.8472221.805556
[1.4,1.5[1.4560.0833330.9305560.833333
[1.5,1.6]1.5550.06944410.694444


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')