FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 29 Nov 2018 12:27:02 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Nov/29/t15434909767e4f2s4eqtdr500.htm/, Retrieved Mon, 06 May 2024 03:42:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315725, Retrieved Mon, 06 May 2024 03:42:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2018-11-29 11:27:02] [31e4af57f5325aef593e09d831d2befc] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
'Venezuela'
'Venezuela'
'Venezuela'
'Madagascar'
'Venezuela'
'Peru'
'Fiji'
'Fiji'
'Fiji'
'Fiji'
'Mexico'
'Indonesia'
'Madagascar'
'Brazil'
'Trinidad'
'Vietnam'
'Madagascar'
'Venezuela'
'Vietnam'
'Tanzania'
'DominicanRepublic'
'Venezuela'
'Madagascar'
'Venezuela'
'Ghana'
'Ghana'
'Peru'
'Belize'
'Madagascar'
'Venezuela'
'Ecuador'
'Jamaica'
'Grenada'
'Trinidad'
'Madagascar'
'Trinidad'
'Vietnam'
'Belize'
'Trinidad'
'Jamaica'
'Vietnam'
'Indonesia'
'Peru'
'DominicanRepublic'
'Congo'
'Colombia'
'Tanzania'
'Tanzania'
'Honduras'
'Philippines'
'Mexico'
'Madagascar'
'Madagascar'
'Belize'
'Belize'
'Belize'
'Cuba'
'Venezuela'
'Venezuela'
'Ecuador'
'Indonesia'
'Madagascar'
'Madagascar'
'Venezuela'
'Venezuela'
'Belize'
'Ghana'
'Madagascar'
'Venezuela'
'Madagascar'
'Madagascar'
'Madagascar'
'Ghana'
'Venezuela'
'Jamaica'
'Congo'
'Madagascar'
'Madagascar'
'Cuba'
'Madagascar'
'Jamaica'
'Peru'
'Mexico'
'Mexico'
'Carribean'
'Venezuela'
'Madagascar'
'Venezuela'
'Belize'
'Venezuela'
'Belize'
'Venezuela'
'DominicanRepublic'
'Ghana'
'Venezuela'
'Belize'
'Jamaica'
'Madagascar'
'Trinidad'
'Trinidad'
'Belize'
'Peru'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Honduras'
'DominicanRepublic'
'Congo'
'Madagascar'
'Grenada'
'Mexico'
'Mexico'
'Madagascar'
'Vietnam'
'Grenada'
'SaoTome'
'Trinidad'
'Venezuela'
'Venezuela'
'Brazil'
'PapuaNewGuinea'
'CostaRica'
'CostaRica'
'Colombia'
'Colombia'
'Colombia'
'Colombia'
'Belize'
'Honduras'
'DominicanRepublic'
'Bolivia'
'DominicanRepublic'
'Peru'
'Nicaragua'
'Peru'
'Uganda'
'Belize'
'Belize'
'Vietnam'
'Malaysia'
'Peru'
'Peru'
'Madagascar'
'DominicanRepublic'
'Congo'
'Peru'
'Venezuela'
'Peru'
'Madagascar'
'Mexico'
'Venezuela'
'Mexico'
'Madagascar'
'Venezuela'
'Grenada'
'Mexico'
'Mexico'
'Venezuela'
'Mexico'
'Venezuela'
'Venezuela'
'Venezuela'
'SaoTome&Principe'
'SaoTome&Principe'
'SaoTome&Principe'
'SaoTome&Principe'
'Madagascar'
'Venezuela'
'Venezuela'
'Vietnam'
'Ghana'
'SaoTome&Principe'
'Madagascar'
'Grenada'
'Venezuela'
'Trinidad'
'Jamaica'
'Peru'
'Peru'
'Mexico'
'Madagascar'
'PapuaNewGuinea'
'Vanuatu'
'Tanzania'
'Brazil'
'Fiji'
'Vanuatu'
'PapuaNewGuinea'
'Trinidad'
'Belize'
'Belize'
'Madagascar'
'Venezuela'
'Madagascar'
'Guatemala'
'Guatemala'
'Guatemala'
'Vietnam'
'Madagascar'
'Ghana'
'WestAfrica'
'Uganda'
'Madagascar'
'Ghana'
'CostaRica'
'Vietnam'
'Belize'
'Madagascar'
'Madagascar'
'Venezuela'
'Venezuela'
'WestAfrica'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Madagascar'
'Madagascar'
'Indonesia'
'Venezuela'
'Peru'
'Venezuela'
'Grenada'
'Venezuela'
'Guatemala'
'Nicaragua'
'Nicaragua'
'Honduras'
'Nicaragua'
'Madagascar'
'Venezuela'
'Venezuela'
'Madagascar'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Peru'
'SaoTome&Principe'
'Vietnam'
'Vietnam'
'Vietnam'
'Venezuela'
'Venezuela'
'Venezuela'
'Trinidad'
'Belize'
'Belize'
'Grenada'
'Madagascar'
'Venezuela'
'Peru'
'Tanzania'
'Vietnam'
'Ghana'
'Madagascar'
'Peru'
'Peru'
'Madagascar'
'PapuaNewGuinea'
'PapuaNewGuinea'
'Ghana'
'Jamaica'
'Jamaica'
'Madagascar'
'Madagascar'
'Venezuela'
'Venezuela'
'Jamaica'
'Jamaica'
'Jamaica'
'Venezuela'
'Trinidad'
'CostaRica'
'Madagascar'
'Ghana'
'DomincanRepublic'
'DomincanRepublic'
'Madagascar'
'Vietnam'
'Grenada'
'Grenada'
'Grenada'
'Ghana'
'Jamaica'
'Trinidad'
'Colombia'
'Ecuador'
'Ecuador'
'Uganda'
'Venezuela'
'Madagascar'
'Madagascar'
'Venezuela'
'DomincanRepublic'
'Peru'
'Madagascar'
'Trinidad'
'St.Lucia'
'St.Lucia'
'Trinidad'
'Vietnam'
'Madagascar'
'St.Lucia'
'St.Lucia'
'Venezuela'
'Uganda'
'SaoTome'
'Vietnam'
'Nicaragua'
'DominicanRepublic'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Peru'
'Madagascar'
'Belize'
'Belize'
'Ghana'
'Madagascar'
'Belize'
'Madagascar'
'Vanuatu'
'DominicanRepublic'
'Belize'
'Madagascar'
'Belize'
'Brazil'
'Uganda'
'Madagascar'
'Venezuela'
'Grenada'
'Madagascar'
'Peru'
'Grenada'
'Ghana'
'Madagascar'
'Vietnam'
'SaoTome'
'Vietnam'
'Nicaragua'
'Venezuela'
'Venezuela'
'Peru.Ecuador.Venezuela'
'Trinidad'
'Madagascar'
'Madagascar'
'Peru'
'Bolivia'
'Bolivia'
'Madagascar'
'Madagascar'
'Madagascar'
'Madagascar'
'Hawaii'
'Cuba'
'Madagascar'
'Madagascar'
'Philippines'
'Venezuela'
'Ghana'
'Vietnam'
'Ecuador'
'Trinidad'
'Peru'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Vietnam'
'Ghana'
'Venezuela'
'Venezuela'
'Venezuela'
'Venezuela'
'Belize'
'Venezuela'
'Vanuatu'
'Madagascar'
'PapuaNewGuinea'
'PNG.Vanuatu.Mad'
'Belize'
'Peru'
'Peru'
'Belize'
'Madagascar'
'Madagascar'
'Madagascar'
'SouthAmerica'
'Venezuela'
'SaoTome'
'SaoTome'
'Madagascar'
'Belize'
'Trinidad'
'Belize'
'Bolivia'
'Indonesia'
'Belize'
'Belize'
'Belize'
'Vietnam'
'Grenada'
'Nicaragua'
'Venezuela'
'Madagascar'
'Ghana'
'PapuaNewGuinea'
'Trinidad'
'WestAfrica'
'SaoTome'
'Venezuela'
'Venezuela'
'DominicanRepublic'
'Madagascar'
'Peru'
'Ghana'
'Belize'
'Ghana'
'Ecuador'
'Venezuela'
'Madagascar'
'Jamaica'
'Peru'
'Peru'
'Congo'
'Peru'
'Trinidad'
'Bolivia'
'Ghana'
'Ghana'
'Tanzania'
'Madagascar'
'Belize'
'Nicaragua'
'Ecuador'
'Congo'
'Peru'
'Hawaii'
'Belize'
'Trinidad'
'Vietnam'
'Madagascar'
'Trinidad'
'Madagascar'
'Madagascar'
'Venezuela'
'Madagascar'
'Madagascar'
'Madagascar'
'Cameroon'
'Venezuela'
'Trinidad'
'Peru'
'Brazil'
'Mexico'
'Madagascar'
'Mexico'
'Indonesia'
'Venezuela'
'Nicaragua'
'Madagascar'
'Fiji'
'Peru'
'Venezuela'
'PapuaNewGuinea'
'Madagascar'
'SaoTome'
'Brazil'
'Tanzania'
'SaoTome&Principe'
'Trinidad'
'Madagascar'
'Indonesia'
'Venezuela'
'Jamaica'
'Ecuador'
'Vanuatu'
'Ghana'
'Colombia'
'Cuba'
'Grenada'
'Madagascar'
'Venezuela'
'Madagascar'
'Mexico'
'Mexico'
'Congo'
'Madagascar'
'Peru'
'Peru'
'Belize'
'Madagascar'
'Trinidad'
'Madagascar'
'Madagascar'
'Grenada'
'Venezuela'
'Madagascar'
'Jamaica'
'Bolivia'
'Venezuela'
'Jamaica'
'Madagascar'
'Trinidad'
'Venezuela'
'Madagascar'
'Venezuela'
'Principe'
'Madagascar'
'Brazil'
'Venezuela'
'SaoTome'
'Grenada'
'Ghana'
'Vietnam'
'Jamaica'
'Jamaica'
'PapuaNewGuinea'
'Venezuela'
'Ecuador'
'Peru'
'Belize'
'SaoTome'
'Brazil'
'Madagascar'
'Madagascar'
'Madagascar'
'Ghana'
'Venezuela'
'Ecuador'
'Vietnam'
'Madagascar'
'Madagascar'
'Trinidad'
'Venezuela'
'Ghana'
'Madagascar'
'Madagascar'
'Madagascar'
'Madagascar'
'Nicaragua'
'Vietnam'
'Venezuela'
'Nicaragua'
'DominicanRepublic'
'Indonesia'
'Peru'
'Trinidad'
'Venezuela'
'Venezuela'
'Venezuela'
'Jamaica'
'Guatemala'
'Venezuela'
'PapuaNewGuinea'
'Grenada'
'DominicanRepublic'
'Venezuela'
'DominicanRepublic'
'Ghana'
'DominicanRepublic'
'PapuaNewGuinea'
'Madagascar'
'Venezuela'
'Vanuatu'
'Bolivia'
'Madagascar'
'Brazil'
'Madagascar'
'Belize'
'Cuba'
'Madagascar'
'Vietnam'
'Venezuela'
'Cuba'
'Madagascar'
'Madagascar'
'Vietnam'
'Trinidad'
'Suriname'
'Belize'
'WestAfrica'
'Ghana'
'Belize'
'Madagascar'
'Guatemala'
'Madagascar'
'Uganda'
'Congo'
'Madagascar'
'Ghana'
'Tobago'
'Bolivia'
'Madagascar'
'Peru'
'Madagascar'
'Venezuela'
'Venezuela'
'Ghana'
'Venezuela'
'WestAfrica'
'WestAfrica'
'Carribean'
'Trinidad'
'Madagascar'
'Ghana'
'Ghana'
'Madagascar'
'Madagascar'
'Madagascar'
'Madagascar'
'Madagascar'
'Madagascar'
'Trinidad'
'Vietnam'
'Madagascar'
'Venezuela'
'Guatemala'
'DominicanRepublic'
'Ghana'
'Peru'
'Peru'
'Peru'
'Peru'
'Colombia'
'Madagascar'
'Venezuela'
'Venezuela'
'Trinidad'
'Madagascar'
'Madagascar'
'Belize'
'Trinidad'
'Trinidad'
'PapuaNewGuinea'
'Congo'
'Congo'
'India'

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315725&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315725&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315725&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Categorical Data)
CategoryAbs. FrequencyRel. Frequency
Madagascar1230.1875
Venezuela1170.1784
Peru410.0625
Belize400.061
Vietnam370.0564
Trinidad330.0503
Ghana320.0488
Jamaica190.029
Grenada170.0259
Mexico160.0244
DominicanRepublic150.0229
PapuaNewGuinea120.0183
Nicaragua110.0168
Congo100.0152
Ecuador100.0152
Brazil90.0137
SaoTome90.0137
Bolivia80.0122
Colombia80.0122
Indonesia80.0122
Guatemala70.0107
SaoTome&Principe70.0107
Tanzania70.0107
Cuba60.0091
Fiji60.0091
Uganda60.0091
Vanuatu60.0091
WestAfrica60.0091
CostaRica40.0061
Honduras40.0061
St.Lucia40.0061
DomincanRepublic30.0046
Carribean20.003
Hawaii20.003
Philippines20.003
Cameroon10.0015
India10.0015
Malaysia10.0015
PNG.Vanuatu.Mad10.0015
Peru.Ecuador.Venezuela10.0015
Principe10.0015
SouthAmerica10.0015
Suriname10.0015
Tobago10.0015

\begin{tabular}{lllllllll}
\hline
Frequency Table (Categorical Data) \tabularnewline
Category & Abs. Frequency & Rel. Frequency \tabularnewline
Madagascar & 123 & 0.1875 \tabularnewline
Venezuela & 117 & 0.1784 \tabularnewline
Peru & 41 & 0.0625 \tabularnewline
Belize & 40 & 0.061 \tabularnewline
Vietnam & 37 & 0.0564 \tabularnewline
Trinidad & 33 & 0.0503 \tabularnewline
Ghana & 32 & 0.0488 \tabularnewline
Jamaica & 19 & 0.029 \tabularnewline
Grenada & 17 & 0.0259 \tabularnewline
Mexico & 16 & 0.0244 \tabularnewline
DominicanRepublic & 15 & 0.0229 \tabularnewline
PapuaNewGuinea & 12 & 0.0183 \tabularnewline
Nicaragua & 11 & 0.0168 \tabularnewline
Congo & 10 & 0.0152 \tabularnewline
Ecuador & 10 & 0.0152 \tabularnewline
Brazil & 9 & 0.0137 \tabularnewline
SaoTome & 9 & 0.0137 \tabularnewline
Bolivia & 8 & 0.0122 \tabularnewline
Colombia & 8 & 0.0122 \tabularnewline
Indonesia & 8 & 0.0122 \tabularnewline
Guatemala & 7 & 0.0107 \tabularnewline
SaoTome&Principe & 7 & 0.0107 \tabularnewline
Tanzania & 7 & 0.0107 \tabularnewline
Cuba & 6 & 0.0091 \tabularnewline
Fiji & 6 & 0.0091 \tabularnewline
Uganda & 6 & 0.0091 \tabularnewline
Vanuatu & 6 & 0.0091 \tabularnewline
WestAfrica & 6 & 0.0091 \tabularnewline
CostaRica & 4 & 0.0061 \tabularnewline
Honduras & 4 & 0.0061 \tabularnewline
St.Lucia & 4 & 0.0061 \tabularnewline
DomincanRepublic & 3 & 0.0046 \tabularnewline
Carribean & 2 & 0.003 \tabularnewline
Hawaii & 2 & 0.003 \tabularnewline
Philippines & 2 & 0.003 \tabularnewline
Cameroon & 1 & 0.0015 \tabularnewline
India & 1 & 0.0015 \tabularnewline
Malaysia & 1 & 0.0015 \tabularnewline
PNG.Vanuatu.Mad & 1 & 0.0015 \tabularnewline
Peru.Ecuador.Venezuela & 1 & 0.0015 \tabularnewline
Principe & 1 & 0.0015 \tabularnewline
SouthAmerica & 1 & 0.0015 \tabularnewline
Suriname & 1 & 0.0015 \tabularnewline
Tobago & 1 & 0.0015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315725&T=1

[TABLE]
[ROW][C]Frequency Table (Categorical Data)[/C][/ROW]
[ROW][C]Category[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][/ROW]
[ROW][C]Madagascar[/C][C]123[/C][C]0.1875[/C][/ROW]
[ROW][C]Venezuela[/C][C]117[/C][C]0.1784[/C][/ROW]
[ROW][C]Peru[/C][C]41[/C][C]0.0625[/C][/ROW]
[ROW][C]Belize[/C][C]40[/C][C]0.061[/C][/ROW]
[ROW][C]Vietnam[/C][C]37[/C][C]0.0564[/C][/ROW]
[ROW][C]Trinidad[/C][C]33[/C][C]0.0503[/C][/ROW]
[ROW][C]Ghana[/C][C]32[/C][C]0.0488[/C][/ROW]
[ROW][C]Jamaica[/C][C]19[/C][C]0.029[/C][/ROW]
[ROW][C]Grenada[/C][C]17[/C][C]0.0259[/C][/ROW]
[ROW][C]Mexico[/C][C]16[/C][C]0.0244[/C][/ROW]
[ROW][C]DominicanRepublic[/C][C]15[/C][C]0.0229[/C][/ROW]
[ROW][C]PapuaNewGuinea[/C][C]12[/C][C]0.0183[/C][/ROW]
[ROW][C]Nicaragua[/C][C]11[/C][C]0.0168[/C][/ROW]
[ROW][C]Congo[/C][C]10[/C][C]0.0152[/C][/ROW]
[ROW][C]Ecuador[/C][C]10[/C][C]0.0152[/C][/ROW]
[ROW][C]Brazil[/C][C]9[/C][C]0.0137[/C][/ROW]
[ROW][C]SaoTome[/C][C]9[/C][C]0.0137[/C][/ROW]
[ROW][C]Bolivia[/C][C]8[/C][C]0.0122[/C][/ROW]
[ROW][C]Colombia[/C][C]8[/C][C]0.0122[/C][/ROW]
[ROW][C]Indonesia[/C][C]8[/C][C]0.0122[/C][/ROW]
[ROW][C]Guatemala[/C][C]7[/C][C]0.0107[/C][/ROW]
[ROW][C]SaoTome&Principe[/C][C]7[/C][C]0.0107[/C][/ROW]
[ROW][C]Tanzania[/C][C]7[/C][C]0.0107[/C][/ROW]
[ROW][C]Cuba[/C][C]6[/C][C]0.0091[/C][/ROW]
[ROW][C]Fiji[/C][C]6[/C][C]0.0091[/C][/ROW]
[ROW][C]Uganda[/C][C]6[/C][C]0.0091[/C][/ROW]
[ROW][C]Vanuatu[/C][C]6[/C][C]0.0091[/C][/ROW]
[ROW][C]WestAfrica[/C][C]6[/C][C]0.0091[/C][/ROW]
[ROW][C]CostaRica[/C][C]4[/C][C]0.0061[/C][/ROW]
[ROW][C]Honduras[/C][C]4[/C][C]0.0061[/C][/ROW]
[ROW][C]St.Lucia[/C][C]4[/C][C]0.0061[/C][/ROW]
[ROW][C]DomincanRepublic[/C][C]3[/C][C]0.0046[/C][/ROW]
[ROW][C]Carribean[/C][C]2[/C][C]0.003[/C][/ROW]
[ROW][C]Hawaii[/C][C]2[/C][C]0.003[/C][/ROW]
[ROW][C]Philippines[/C][C]2[/C][C]0.003[/C][/ROW]
[ROW][C]Cameroon[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]India[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]Malaysia[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]PNG.Vanuatu.Mad[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]Peru.Ecuador.Venezuela[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]Principe[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]SouthAmerica[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]Suriname[/C][C]1[/C][C]0.0015[/C][/ROW]
[ROW][C]Tobago[/C][C]1[/C][C]0.0015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315725&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315725&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 (Categorical Data)
CategoryAbs. FrequencyRel. Frequency
Madagascar1230.1875
Venezuela1170.1784
Peru410.0625
Belize400.061
Vietnam370.0564
Trinidad330.0503
Ghana320.0488
Jamaica190.029
Grenada170.0259
Mexico160.0244
DominicanRepublic150.0229
PapuaNewGuinea120.0183
Nicaragua110.0168
Congo100.0152
Ecuador100.0152
Brazil90.0137
SaoTome90.0137
Bolivia80.0122
Colombia80.0122
Indonesia80.0122
Guatemala70.0107
SaoTome&Principe70.0107
Tanzania70.0107
Cuba60.0091
Fiji60.0091
Uganda60.0091
Vanuatu60.0091
WestAfrica60.0091
CostaRica40.0061
Honduras40.0061
St.Lucia40.0061
DomincanRepublic30.0046
Carribean20.003
Hawaii20.003
Philippines20.003
Cameroon10.0015
India10.0015
Malaysia10.0015
PNG.Vanuatu.Mad10.0015
Peru.Ecuador.Venezuela10.0015
Principe10.0015
SouthAmerica10.0015
Suriname10.0015
Tobago10.0015


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.numeric(x[1])) {
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)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}