# 07월 18일
rm(list=ls()) #1 - 이때까지 저장된거 지우기
library(dplyr) #2
##
## 다음의 패키지를 부착합니다: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(psych)
library(ggplot2)
##
## 다음의 패키지를 부착합니다: 'ggplot2'
## The following objects are masked from 'package:psych':
##
## %+%, alpha
library(lattice)
library(caret)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ lubridate 1.9.2 ✔ tibble 3.2.1
## ✔ purrr 1.0.1 ✔ tidyr 1.3.0
## ✔ readr 2.1.4
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ ggplot2::%+%() masks psych::%+%()
## ✖ ggplot2::alpha() masks psych::alpha()
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ✖ purrr::lift() masks caret::lift()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(hflights)
library(plyr)
## ------------------------------------------------------------------------------
## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)
## ------------------------------------------------------------------------------
##
## 다음의 패키지를 부착합니다: 'plyr'
##
## The following object is masked from 'package:purrr':
##
## compact
##
## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
setwd("C:/data")
getwd()
## [1] "C:/data"
#이론 실습
c(1,2,3)+2
## [1] 3 4 5
c(1,2,3) + c(4,5,6)
## [1] 5 7 9
c(1,2)+c(3,4,5,6)
## [1] 4 6 6 8
#c(1,2,3)+c(4,5,6,7) 경고멧ㅔ지 나옴!
set.seed(1)
sample(1:45,6)#로또 번호 무작위 추출
## [1] 4 39 1 34 23 14
m<-matrix(1:6,nrow = 3)
m[m[,1]>1&m[,2]>5,]
## [1] 3 6
rep(1,3)
## [1] 1 1 1
a<-1:10
b<-log(a)
IQR(a)
## [1] 4.5
range(a)
## [1] 1 10
describe(a)
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 10 5.5 3.03 5.5 5.5 3.71 1 10 9 0 -1.56 0.96
quantile(a)
## 0% 25% 50% 75% 100%
## 1.00 3.25 5.50 7.75 10.00
log(a)
## [1] 0.0000000 0.6931472 1.0986123 1.3862944 1.6094379 1.7917595 1.9459101
## [8] 2.0794415 2.1972246 2.3025851
cov(a,b)
## [1] 2.112062
cor(a,b)
## [1] 0.9516624
summary(a)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.00 3.25 5.50 5.50 7.75 10.00
b<-c('a','b','c')
b
## [1] "a" "b" "c"
b[2]
## [1] "b"
b[-3]
## [1] "a" "b"
b[c(1,2)]
## [1] "a" "b"
a<-c()
for(i in 1:9)
{a[i]=i*i
}
a
## [1] 1 4 9 16 25 36 49 64 81
x=1
while(x<5){
x=x+1
print(x)
}
## [1] 2
## [1] 3
## [1] 4
## [1] 5
gender<-c("m","f","m","f","m")
gender<-ifelse(gender=="f",0,1)
gender
## [1] 1 0 1 0 1
number<-1:5
alphabet<-c('a','b','c')
paste(number,alphabet)
## [1] "1 a" "2 b" "3 c" "4 a" "5 b"
paste(number,alphabet,sep=" to the ")
## [1] "1 to the a" "2 to the b" "3 to the c" "4 to the a" "5 to the b"
country<-c('korea','Japan')
substr(country,1,2)
## [1] "ko" "Ja"
as.data.frame(x)
## x
## 1 5
as.list(x)
## [[1]]
## [1] 5
as.vector(x)
## [1] 5
as.factor(x)
## [1] 5
## Levels: 5
as.matrix(x)
## [,1]
## [1,] 5
as.integer(3.14)
## [1] 3
as.numeric('foo')
## Warning: 강제형변환에 의해 생성된 NA 입니다
## [1] NA
as.numeric(FALSE)
## [1] 0
as.logical(0.45)
## [1] TRUE
as.Date("2018-01-13")
## [1] "2018-01-13"
height<-c(170,168,174,175,188,165,165,190,173,168,159,170,184,155,165)
weight<-c(68,65,74,77,92,63,67,95,72,69,60,69,73,56,55)
plot(height,weight)
pairs(iris[1:4], main="Anderson's Iris Data --3 specis",
pch=21, bg = c('red','green3','blue')[unclass(iris$Species)])
height<-c(182,160,170,163,160,181,166,159,145,175)
hist(height)
summary(height)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 145.0 160.0 164.5 166.1 173.8 182.0
par(mfrow=c(2,2))
boxplot(iris$Petal.Length~iris$Species,data = iris)
boxplot(iris$Sepal.Length~iris$Species,data = iris)
boxplot(iris$Sepal.Width~iris$Species,data = iris)
boxplot(iris$Petal.Width~iris$Species,data = iris)
featurePlot(x=iris[, 1:4],
y=iris$Species,
plot = "density",
scales=list(x=list(relation="free"),
y=list(relation="free")),
adjust=1.5,
pch = "1",
layout = c(4,1),
auto.key=list(colums=3))
par(mfrow=c(1,1))
data('Titanic')
glimpse(Titanic)
## 'table' num [1:4, 1:2, 1:2, 1:2] 0 0 35 0 0 0 17 0 118 154 ...
## - attr(*, "dimnames")=List of 4
## ..$ Class : chr [1:4] "1st" "2nd" "3rd" "Crew"
## ..$ Sex : chr [1:2] "Male" "Female"
## ..$ Age : chr [1:2] "Child" "Adult"
## ..$ Survived: chr [1:2] "No" "Yes"
mosaicplot(Titanic,
main='Survial on the Titanic',
color = c('red','green'),
off=1)
library(reshape2)
##
## 다음의 패키지를 부착합니다: 'reshape2'
## The following object is masked from 'package:tidyr':
##
## smiths
data("airquality")
colnames(airquality)
## [1] "Ozone" "Solar.R" "Wind" "Temp" "Month" "Day"
colnames(airquality)<-tolower(colnames(airquality))
head(airquality)
## ozone solar.r wind temp month day
## 1 41 190 7.4 67 5 1
## 2 36 118 8.0 72 5 2
## 3 12 149 12.6 74 5 3
## 4 18 313 11.5 62 5 4
## 5 NA NA 14.3 56 5 5
## 6 28 NA 14.9 66 5 6
head(airquality,3)
## ozone solar.r wind temp month day
## 1 41 190 7.4 67 5 1
## 2 36 118 8.0 72 5 2
## 3 12 149 12.6 74 5 3
getwd()
## [1] "C:/data"
df <- read.csv('disease.csv')
df
## year Afghanistan Albania Algeria Andorra Angola Antigua...Barbuda Argentina
## 1 1999 0 89.0 25.0 245.0 217.0 102.0 193.0
## 2 2000 0 132.0 0.0 138.0 57.0 128.0 25.0
## 3 2001 0 54.0 14.0 312.0 45.0 45.0 221.0
## 4 2002 0 4.9 0.7 12.4 5.9 4.9 8.3
## Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados
## 1 21.0 261.0 279.0 21.0 122.0 42 0 143.0
## 2 179.0 72.0 75.0 46.0 176.0 63 0 173.0
## 3 11.0 212.0 191.0 5.0 51.0 7 0 36.0
## 4 3.8 10.4 9.7 1.3 6.3 2 0 6.3
## Belarus Belgium Belize Benin Bhutan Bolivia Bosnia.Herzegovina Botswana
## 1 142.0 295.0 263.0 34.0 23.0 167.0 76.0 173.0
## 2 373.0 84.0 114.0 4.0 0.0 41.0 173.0 35.0
## 3 42.0 212.0 8.0 13.0 0.0 8.0 8.0 35.0
## 4 14.4 10.5 6.8 1.1 0.4 3.8 4.6 5.4
## Brazil Brunei Bulgaria Burkina.Faso Burundi Cote.d.Ivoire Cabo.Verde Cambodia
## 1 245.0 31.0 231.0 25.0 88.0 37 144 57.0
## 2 145.0 2.0 252.0 7.0 0.0 1 56 65.0
## 3 16.0 1.0 94.0 7.0 0.0 7 16 1.0
## 4 7.2 0.6 10.3 4.3 6.3 4 4 2.2
## Cameroon Canada Central.African.Republic Chad Chile China Colombia Comoros
## 1 147.0 240.0 17.0 15.0 130.0 79 159.0 1.0
## 2 1.0 122.0 2.0 1.0 124.0 192 76.0 3.0
## 3 4.0 100.0 1.0 1.0 172.0 8 3.0 1.0
## 4 5.8 8.2 1.8 0.4 7.6 5 4.2 0.1
## Congo Cook.Islands Costa.Rica Croatia Cuba Cyprus Czech.Republic North.Korea
## 1 76.0 0.0 149.0 230.0 93.0 192.0 361.0 0
## 2 1.0 254.0 87.0 87.0 137.0 154.0 170.0 0
## 3 9.0 74.0 11.0 254.0 5.0 113.0 134.0 0
## 4 1.7 5.9 4.4 10.2 4.2 8.2 11.8 0
## DR.Congo Denmark Djibouti Dominica Dominican.Republic Ecuador Egypt
## 1 32.0 224.0 15.0 52.0 193.0 162.0 6.0
## 2 3.0 81.0 44.0 286.0 147.0 74.0 4.0
## 3 1.0 278.0 3.0 26.0 9.0 3.0 1.0
## 4 2.3 10.4 1.1 6.6 6.2 4.2 0.2
## El.Salvador Equatorial.Guinea Eritrea Estonia Ethiopia Fiji Finland France
## 1 52.0 92.0 18.0 224.0 20.0 77 263 127.0
## 2 69.0 0.0 0.0 194.0 3.0 35 133 151.0
## 3 2.0 233.0 0.0 59.0 0.0 1 97 370.0
## 4 2.2 5.8 0.5 9.5 0.7 2 10 11.8
## Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea
## 1 347.0 8.0 52.0 346.0 31.0 133.0 199.0 53.0 9.0
## 2 98.0 0.0 100.0 117.0 3.0 112.0 438.0 69.0 0.0
## 3 59.0 1.0 149.0 175.0 10.0 218.0 28.0 2.0 2.0
## 4 8.9 2.4 5.4 11.3 1.8 8.3 11.9 2.2 0.2
## Guinea.Bissau Guyana Haiti Honduras Hungary Iceland India Indonesia Iran Iraq
## 1 28.0 93.0 1.0 69 234.0 233.0 9.0 5.0 0 9.0
## 2 31.0 302.0 326.0 98 215.0 61.0 114.0 1.0 0 3.0
## 3 21.0 1.0 1.0 2 185.0 78.0 0.0 0.0 0 0.0
## 4 2.5 7.1 5.9 3 11.3 6.6 2.2 0.1 0 0.2
## Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait
## 1 313.0 63.0 85.0 82.0 77 6.0 124.0 58.0 21 0
## 2 118.0 69.0 42.0 88.0 202 21.0 246.0 22.0 34 0
## 3 165.0 9.0 237.0 9.0 16 1.0 12.0 2.0 1 0
## 4 11.4 2.5 6.5 3.4 7 0.5 6.8 1.8 1 0
## Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Lithuania Luxembourg
## 1 31.0 62.0 281.0 20.0 82.0 19.0 0 343.0 236.0
## 2 88.0 0.0 216.0 55.0 50.0 152.0 0 244.0 133.0
## 3 6.0 123.0 62.0 31.0 0.0 2.0 0 56.0 271.0
## 4 2.4 6.2 10.5 1.9 2.8 3.1 0 12.9 11.4
## Madagascar Malawi Malaysia Maldives Mali Malta Marshall.Islands Mauritania
## 1 26.0 8.0 13.0 0 5.0 149.0 0 0
## 2 15.0 11.0 4.0 0 1.0 100.0 0 0
## 3 4.0 1.0 0.0 0 1.0 120.0 0 0
## 4 0.8 1.5 0.3 0 0.6 6.6 0 0
## Mauritius Mexico Micronesia Monaco Mongolia Montenegro Morocco Mozambique
## 1 98.0 238.0 62.0 0 77.0 31.0 12.0 47.0
## 2 31.0 68.0 50.0 0 189.0 114.0 6.0 18.0
## 3 18.0 5.0 18.0 0 8.0 128.0 10.0 5.0
## 4 2.6 5.5 2.3 0 4.9 4.9 0.5 1.3
## Myanmar Namibia Nauru Nepal Netherlands New.Zealand Nicaragua Niger Nigeria
## 1 5.0 376.0 49 5.0 251.0 203.0 78.0 3.0 42.0
## 2 1.0 3.0 0 6.0 88.0 79.0 118.0 2.0 5.0
## 3 0.0 1.0 8 0.0 190.0 175.0 1.0 1.0 2.0
## 4 0.1 6.8 1 0.2 9.4 9.3 3.5 0.1 9.1
## Niue Norway Oman Pakistan Palau Panama Papua.New.Guinea Paraguay Peru
## 1 188 169.0 22.0 0 306.0 285.0 44.0 213.0 163.0
## 2 200 71.0 16.0 0 63.0 104.0 39.0 117.0 160.0
## 3 7 129.0 1.0 0 23.0 18.0 1.0 74.0 21.0
## 4 7 6.7 0.7 0 6.9 7.2 1.5 7.3 6.1
## Philippines Poland Portugal Qatar South.Korea Moldova Romania
## 1 71.0 343.0 194 1.0 140.0 109.0 297.0
## 2 186.0 215.0 67 42.0 16.0 226.0 122.0
## 3 1.0 56.0 339 7.0 9.0 18.0 167.0
## 4 4.6 10.9 11 0.9 9.8 6.3 10.4
## Russian.Federation Rwanda St..Kitts...Nevis St..Lucia
## 1 247.0 43.0 194.0 171.0
## 2 326.0 2.0 205.0 315.0
## 3 73.0 0.0 32.0 71.0
## 4 11.5 6.8 7.7 10.1
## St..Vincent...the.Grenadines Samoa San.Marino Sao.Tome...Principe
## 1 120.0 105.0 0 56.0
## 2 221.0 18.0 0 38.0
## 3 11.0 24.0 0 140.0
## 4 6.3 2.6 0 4.2
## Saudi.Arabia Senegal Serbia Seychelles Sierra.Leone Singapore Slovakia
## 1 0.0 9.0 283.0 157.0 25.0 60.0 196.0
## 2 5.0 1.0 131.0 25.0 3.0 12.0 293.0
## 3 0.0 7.0 127.0 51.0 2.0 11.0 116.0
## 4 0.1 0.3 9.6 4.1 6.7 1.5 11.4
## Slovenia Solomon.Islands Somalia South.Africa Spain Sri.Lanka Sudan Suriname
## 1 270.0 56.0 0 225.0 284 16.0 8.0 128.0
## 2 51.0 11.0 0 76.0 157 104.0 13.0 178.0
## 3 276.0 1.0 0 81.0 112 0.0 0.0 7.0
## 4 10.6 1.2 0 8.2 10 2.2 1.7 5.6
## Swaziland Sweden Switzerland Syria Tajikistan Thailand Macedonia Timor.Leste
## 1 90.0 152.0 185.0 5 2.0 99.0 106.0 1.0
## 2 2.0 60.0 100.0 35 15.0 258.0 27.0 1.0
## 3 2.0 186.0 280.0 16 0.0 1.0 86.0 4.0
## 4 4.7 7.2 10.2 1 0.3 6.4 3.9 0.1
## Togo Tonga Trinidad...Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda
## 1 36.0 36.0 197.0 51.0 51.0 19.0 6 45.0
## 2 2.0 21.0 156.0 3.0 22.0 71.0 41 9.0
## 3 19.0 5.0 7.0 20.0 7.0 32.0 9 0.0
## 4 1.3 1.1 6.4 1.3 1.4 2.2 1 8.3
## Ukraine United.Arab.Emirates United.Kingdom Tanzania USA Uruguay Uzbekistan
## 1 206.0 16.0 219.0 36.0 249.0 115.0 25.0
## 2 237.0 135.0 126.0 6.0 158.0 35.0 101.0
## 3 45.0 5.0 195.0 1.0 84.0 220.0 8.0
## 4 8.9 2.8 10.4 5.7 8.7 6.6 2.4
## Vanuatu Venezuela Vietnam Yemen Zambia Zimbabwe
## 1 21.0 333.0 111 6.0 32.0 64.0
## 2 18.0 100.0 2 0.0 19.0 18.0
## 3 11.0 3.0 1 0.0 4.0 4.0
## 4 0.9 7.7 2 0.1 2.5 4.7
library(reshape)
##
## 다음의 패키지를 부착합니다: 'reshape'
## The following objects are masked from 'package:reshape2':
##
## colsplit, melt, recast
## The following objects are masked from 'package:plyr':
##
## rename, round_any
## The following object is masked from 'package:lubridate':
##
## stamp
## The following objects are masked from 'package:tidyr':
##
## expand, smiths
## The following object is masked from 'package:dplyr':
##
## rename
df1<-melt(df,id='year')
df1
## year variable value
## 1 1999 Afghanistan 0.0
## 2 2000 Afghanistan 0.0
## 3 2001 Afghanistan 0.0
## 4 2002 Afghanistan 0.0
## 5 1999 Albania 89.0
## 6 2000 Albania 132.0
## 7 2001 Albania 54.0
## 8 2002 Albania 4.9
## 9 1999 Algeria 25.0
## 10 2000 Algeria 0.0
## 11 2001 Algeria 14.0
## 12 2002 Algeria 0.7
## 13 1999 Andorra 245.0
## 14 2000 Andorra 138.0
## 15 2001 Andorra 312.0
## 16 2002 Andorra 12.4
## 17 1999 Angola 217.0
## 18 2000 Angola 57.0
## 19 2001 Angola 45.0
## 20 2002 Angola 5.9
## 21 1999 Antigua...Barbuda 102.0
## 22 2000 Antigua...Barbuda 128.0
## 23 2001 Antigua...Barbuda 45.0
## 24 2002 Antigua...Barbuda 4.9
## 25 1999 Argentina 193.0
## 26 2000 Argentina 25.0
## 27 2001 Argentina 221.0
## 28 2002 Argentina 8.3
## 29 1999 Armenia 21.0
## 30 2000 Armenia 179.0
## 31 2001 Armenia 11.0
## 32 2002 Armenia 3.8
## 33 1999 Australia 261.0
## 34 2000 Australia 72.0
## 35 2001 Australia 212.0
## 36 2002 Australia 10.4
## 37 1999 Austria 279.0
## 38 2000 Austria 75.0
## 39 2001 Austria 191.0
## 40 2002 Austria 9.7
## 41 1999 Azerbaijan 21.0
## 42 2000 Azerbaijan 46.0
## 43 2001 Azerbaijan 5.0
## 44 2002 Azerbaijan 1.3
## 45 1999 Bahamas 122.0
## 46 2000 Bahamas 176.0
## 47 2001 Bahamas 51.0
## 48 2002 Bahamas 6.3
## 49 1999 Bahrain 42.0
## 50 2000 Bahrain 63.0
## 51 2001 Bahrain 7.0
## 52 2002 Bahrain 2.0
## 53 1999 Bangladesh 0.0
## 54 2000 Bangladesh 0.0
## 55 2001 Bangladesh 0.0
## 56 2002 Bangladesh 0.0
## 57 1999 Barbados 143.0
## 58 2000 Barbados 173.0
## 59 2001 Barbados 36.0
## 60 2002 Barbados 6.3
## 61 1999 Belarus 142.0
## 62 2000 Belarus 373.0
## 63 2001 Belarus 42.0
## 64 2002 Belarus 14.4
## 65 1999 Belgium 295.0
## 66 2000 Belgium 84.0
## 67 2001 Belgium 212.0
## 68 2002 Belgium 10.5
## 69 1999 Belize 263.0
## 70 2000 Belize 114.0
## 71 2001 Belize 8.0
## 72 2002 Belize 6.8
## 73 1999 Benin 34.0
## 74 2000 Benin 4.0
## 75 2001 Benin 13.0
## 76 2002 Benin 1.1
## 77 1999 Bhutan 23.0
## 78 2000 Bhutan 0.0
## 79 2001 Bhutan 0.0
## 80 2002 Bhutan 0.4
## 81 1999 Bolivia 167.0
## 82 2000 Bolivia 41.0
## 83 2001 Bolivia 8.0
## 84 2002 Bolivia 3.8
## 85 1999 Bosnia.Herzegovina 76.0
## 86 2000 Bosnia.Herzegovina 173.0
## 87 2001 Bosnia.Herzegovina 8.0
## 88 2002 Bosnia.Herzegovina 4.6
## 89 1999 Botswana 173.0
## 90 2000 Botswana 35.0
## 91 2001 Botswana 35.0
## 92 2002 Botswana 5.4
## 93 1999 Brazil 245.0
## 94 2000 Brazil 145.0
## 95 2001 Brazil 16.0
## 96 2002 Brazil 7.2
## 97 1999 Brunei 31.0
## 98 2000 Brunei 2.0
## 99 2001 Brunei 1.0
## 100 2002 Brunei 0.6
## 101 1999 Bulgaria 231.0
## 102 2000 Bulgaria 252.0
## 103 2001 Bulgaria 94.0
## 104 2002 Bulgaria 10.3
## 105 1999 Burkina.Faso 25.0
## 106 2000 Burkina.Faso 7.0
## 107 2001 Burkina.Faso 7.0
## 108 2002 Burkina.Faso 4.3
## 109 1999 Burundi 88.0
## 110 2000 Burundi 0.0
## 111 2001 Burundi 0.0
## 112 2002 Burundi 6.3
## 113 1999 Cote.d.Ivoire 37.0
## 114 2000 Cote.d.Ivoire 1.0
## 115 2001 Cote.d.Ivoire 7.0
## 116 2002 Cote.d.Ivoire 4.0
## 117 1999 Cabo.Verde 144.0
## 118 2000 Cabo.Verde 56.0
## 119 2001 Cabo.Verde 16.0
## 120 2002 Cabo.Verde 4.0
## 121 1999 Cambodia 57.0
## 122 2000 Cambodia 65.0
## 123 2001 Cambodia 1.0
## 124 2002 Cambodia 2.2
## 125 1999 Cameroon 147.0
## 126 2000 Cameroon 1.0
## 127 2001 Cameroon 4.0
## 128 2002 Cameroon 5.8
## 129 1999 Canada 240.0
## 130 2000 Canada 122.0
## 131 2001 Canada 100.0
## 132 2002 Canada 8.2
## 133 1999 Central.African.Republic 17.0
## 134 2000 Central.African.Republic 2.0
## 135 2001 Central.African.Republic 1.0
## 136 2002 Central.African.Republic 1.8
## 137 1999 Chad 15.0
## 138 2000 Chad 1.0
## 139 2001 Chad 1.0
## 140 2002 Chad 0.4
## 141 1999 Chile 130.0
## 142 2000 Chile 124.0
## 143 2001 Chile 172.0
## 144 2002 Chile 7.6
## 145 1999 China 79.0
## 146 2000 China 192.0
## 147 2001 China 8.0
## 148 2002 China 5.0
## 149 1999 Colombia 159.0
## 150 2000 Colombia 76.0
## 151 2001 Colombia 3.0
## 152 2002 Colombia 4.2
## 153 1999 Comoros 1.0
## 154 2000 Comoros 3.0
## 155 2001 Comoros 1.0
## 156 2002 Comoros 0.1
## 157 1999 Congo 76.0
## 158 2000 Congo 1.0
## 159 2001 Congo 9.0
## 160 2002 Congo 1.7
## 161 1999 Cook.Islands 0.0
## 162 2000 Cook.Islands 254.0
## 163 2001 Cook.Islands 74.0
## 164 2002 Cook.Islands 5.9
## 165 1999 Costa.Rica 149.0
## 166 2000 Costa.Rica 87.0
## 167 2001 Costa.Rica 11.0
## 168 2002 Costa.Rica 4.4
## 169 1999 Croatia 230.0
## 170 2000 Croatia 87.0
## 171 2001 Croatia 254.0
## 172 2002 Croatia 10.2
## 173 1999 Cuba 93.0
## 174 2000 Cuba 137.0
## 175 2001 Cuba 5.0
## 176 2002 Cuba 4.2
## 177 1999 Cyprus 192.0
## 178 2000 Cyprus 154.0
## 179 2001 Cyprus 113.0
## 180 2002 Cyprus 8.2
## 181 1999 Czech.Republic 361.0
## 182 2000 Czech.Republic 170.0
## 183 2001 Czech.Republic 134.0
## 184 2002 Czech.Republic 11.8
## 185 1999 North.Korea 0.0
## 186 2000 North.Korea 0.0
## 187 2001 North.Korea 0.0
## 188 2002 North.Korea 0.0
## 189 1999 DR.Congo 32.0
## 190 2000 DR.Congo 3.0
## 191 2001 DR.Congo 1.0
## 192 2002 DR.Congo 2.3
## 193 1999 Denmark 224.0
## 194 2000 Denmark 81.0
## 195 2001 Denmark 278.0
## 196 2002 Denmark 10.4
## 197 1999 Djibouti 15.0
## 198 2000 Djibouti 44.0
## 199 2001 Djibouti 3.0
## 200 2002 Djibouti 1.1
## 201 1999 Dominica 52.0
## 202 2000 Dominica 286.0
## 203 2001 Dominica 26.0
## 204 2002 Dominica 6.6
## 205 1999 Dominican.Republic 193.0
## 206 2000 Dominican.Republic 147.0
## 207 2001 Dominican.Republic 9.0
## 208 2002 Dominican.Republic 6.2
## 209 1999 Ecuador 162.0
## 210 2000 Ecuador 74.0
## 211 2001 Ecuador 3.0
## 212 2002 Ecuador 4.2
## 213 1999 Egypt 6.0
## 214 2000 Egypt 4.0
## 215 2001 Egypt 1.0
## 216 2002 Egypt 0.2
## 217 1999 El.Salvador 52.0
## 218 2000 El.Salvador 69.0
## 219 2001 El.Salvador 2.0
## 220 2002 El.Salvador 2.2
## 221 1999 Equatorial.Guinea 92.0
## 222 2000 Equatorial.Guinea 0.0
## 223 2001 Equatorial.Guinea 233.0
## 224 2002 Equatorial.Guinea 5.8
## 225 1999 Eritrea 18.0
## 226 2000 Eritrea 0.0
## 227 2001 Eritrea 0.0
## 228 2002 Eritrea 0.5
## 229 1999 Estonia 224.0
## 230 2000 Estonia 194.0
## 231 2001 Estonia 59.0
## 232 2002 Estonia 9.5
## 233 1999 Ethiopia 20.0
## 234 2000 Ethiopia 3.0
## 235 2001 Ethiopia 0.0
## 236 2002 Ethiopia 0.7
## 237 1999 Fiji 77.0
## 238 2000 Fiji 35.0
## 239 2001 Fiji 1.0
## 240 2002 Fiji 2.0
## 241 1999 Finland 263.0
## 242 2000 Finland 133.0
## 243 2001 Finland 97.0
## 244 2002 Finland 10.0
## 245 1999 France 127.0
## 246 2000 France 151.0
## 247 2001 France 370.0
## 248 2002 France 11.8
## 249 1999 Gabon 347.0
## 250 2000 Gabon 98.0
## 251 2001 Gabon 59.0
## 252 2002 Gabon 8.9
## 253 1999 Gambia 8.0
## 254 2000 Gambia 0.0
## 255 2001 Gambia 1.0
## 256 2002 Gambia 2.4
## 257 1999 Georgia 52.0
## 258 2000 Georgia 100.0
## 259 2001 Georgia 149.0
## 260 2002 Georgia 5.4
## 261 1999 Germany 346.0
## 262 2000 Germany 117.0
## 263 2001 Germany 175.0
## 264 2002 Germany 11.3
## 265 1999 Ghana 31.0
## 266 2000 Ghana 3.0
## 267 2001 Ghana 10.0
## 268 2002 Ghana 1.8
## 269 1999 Greece 133.0
## 270 2000 Greece 112.0
## 271 2001 Greece 218.0
## 272 2002 Greece 8.3
## 273 1999 Grenada 199.0
## 274 2000 Grenada 438.0
## 275 2001 Grenada 28.0
## 276 2002 Grenada 11.9
## 277 1999 Guatemala 53.0
## 278 2000 Guatemala 69.0
## 279 2001 Guatemala 2.0
## 280 2002 Guatemala 2.2
## 281 1999 Guinea 9.0
## 282 2000 Guinea 0.0
## 283 2001 Guinea 2.0
## 284 2002 Guinea 0.2
## 285 1999 Guinea.Bissau 28.0
## 286 2000 Guinea.Bissau 31.0
## 287 2001 Guinea.Bissau 21.0
## 288 2002 Guinea.Bissau 2.5
## 289 1999 Guyana 93.0
## 290 2000 Guyana 302.0
## 291 2001 Guyana 1.0
## 292 2002 Guyana 7.1
## 293 1999 Haiti 1.0
## 294 2000 Haiti 326.0
## 295 2001 Haiti 1.0
## 296 2002 Haiti 5.9
## 297 1999 Honduras 69.0
## 298 2000 Honduras 98.0
## 299 2001 Honduras 2.0
## 300 2002 Honduras 3.0
## 301 1999 Hungary 234.0
## 302 2000 Hungary 215.0
## 303 2001 Hungary 185.0
## 304 2002 Hungary 11.3
## 305 1999 Iceland 233.0
## 306 2000 Iceland 61.0
## 307 2001 Iceland 78.0
## 308 2002 Iceland 6.6
## 309 1999 India 9.0
## 310 2000 India 114.0
## 311 2001 India 0.0
## 312 2002 India 2.2
## 313 1999 Indonesia 5.0
## 314 2000 Indonesia 1.0
## 315 2001 Indonesia 0.0
## 316 2002 Indonesia 0.1
## 317 1999 Iran 0.0
## 318 2000 Iran 0.0
## 319 2001 Iran 0.0
## 320 2002 Iran 0.0
## 321 1999 Iraq 9.0
## 322 2000 Iraq 3.0
## 323 2001 Iraq 0.0
## 324 2002 Iraq 0.2
## 325 1999 Ireland 313.0
## 326 2000 Ireland 118.0
## 327 2001 Ireland 165.0
## 328 2002 Ireland 11.4
## 329 1999 Israel 63.0
## 330 2000 Israel 69.0
## 331 2001 Israel 9.0
## 332 2002 Israel 2.5
## 333 1999 Italy 85.0
## 334 2000 Italy 42.0
## 335 2001 Italy 237.0
## 336 2002 Italy 6.5
## 337 1999 Jamaica 82.0
## 338 2000 Jamaica 88.0
## 339 2001 Jamaica 9.0
## 340 2002 Jamaica 3.4
## 341 1999 Japan 77.0
## 342 2000 Japan 202.0
## 343 2001 Japan 16.0
## 344 2002 Japan 7.0
## 345 1999 Jordan 6.0
## 346 2000 Jordan 21.0
## 347 2001 Jordan 1.0
## 348 2002 Jordan 0.5
## 349 1999 Kazakhstan 124.0
## 350 2000 Kazakhstan 246.0
## 351 2001 Kazakhstan 12.0
## 352 2002 Kazakhstan 6.8
## 353 1999 Kenya 58.0
## 354 2000 Kenya 22.0
## 355 2001 Kenya 2.0
## 356 2002 Kenya 1.8
## 357 1999 Kiribati 21.0
## 358 2000 Kiribati 34.0
## 359 2001 Kiribati 1.0
## 360 2002 Kiribati 1.0
## 361 1999 Kuwait 0.0
## 362 2000 Kuwait 0.0
## 363 2001 Kuwait 0.0
## 364 2002 Kuwait 0.0
## 365 1999 Kyrgyzstan 31.0
## 366 2000 Kyrgyzstan 88.0
## 367 2001 Kyrgyzstan 6.0
## 368 2002 Kyrgyzstan 2.4
## 369 1999 Laos 62.0
## 370 2000 Laos 0.0
## 371 2001 Laos 123.0
## 372 2002 Laos 6.2
## 373 1999 Latvia 281.0
## 374 2000 Latvia 216.0
## 375 2001 Latvia 62.0
## 376 2002 Latvia 10.5
## 377 1999 Lebanon 20.0
## 378 2000 Lebanon 55.0
## 379 2001 Lebanon 31.0
## 380 2002 Lebanon 1.9
## 381 1999 Lesotho 82.0
## 382 2000 Lesotho 50.0
## 383 2001 Lesotho 0.0
## 384 2002 Lesotho 2.8
## 385 1999 Liberia 19.0
## 386 2000 Liberia 152.0
## 387 2001 Liberia 2.0
## 388 2002 Liberia 3.1
## 389 1999 Libya 0.0
## 390 2000 Libya 0.0
## 391 2001 Libya 0.0
## 392 2002 Libya 0.0
## 393 1999 Lithuania 343.0
## 394 2000 Lithuania 244.0
## 395 2001 Lithuania 56.0
## 396 2002 Lithuania 12.9
## 397 1999 Luxembourg 236.0
## 398 2000 Luxembourg 133.0
## 399 2001 Luxembourg 271.0
## 400 2002 Luxembourg 11.4
## 401 1999 Madagascar 26.0
## 402 2000 Madagascar 15.0
## 403 2001 Madagascar 4.0
## 404 2002 Madagascar 0.8
## 405 1999 Malawi 8.0
## 406 2000 Malawi 11.0
## 407 2001 Malawi 1.0
## 408 2002 Malawi 1.5
## 409 1999 Malaysia 13.0
## 410 2000 Malaysia 4.0
## 411 2001 Malaysia 0.0
## 412 2002 Malaysia 0.3
## 413 1999 Maldives 0.0
## 414 2000 Maldives 0.0
## 415 2001 Maldives 0.0
## 416 2002 Maldives 0.0
## 417 1999 Mali 5.0
## 418 2000 Mali 1.0
## 419 2001 Mali 1.0
## 420 2002 Mali 0.6
## 421 1999 Malta 149.0
## 422 2000 Malta 100.0
## 423 2001 Malta 120.0
## 424 2002 Malta 6.6
## 425 1999 Marshall.Islands 0.0
## 426 2000 Marshall.Islands 0.0
## 427 2001 Marshall.Islands 0.0
## 428 2002 Marshall.Islands 0.0
## 429 1999 Mauritania 0.0
## 430 2000 Mauritania 0.0
## 431 2001 Mauritania 0.0
## 432 2002 Mauritania 0.0
## 433 1999 Mauritius 98.0
## 434 2000 Mauritius 31.0
## 435 2001 Mauritius 18.0
## 436 2002 Mauritius 2.6
## 437 1999 Mexico 238.0
## 438 2000 Mexico 68.0
## 439 2001 Mexico 5.0
## 440 2002 Mexico 5.5
## 441 1999 Micronesia 62.0
## 442 2000 Micronesia 50.0
## 443 2001 Micronesia 18.0
## 444 2002 Micronesia 2.3
## 445 1999 Monaco 0.0
## 446 2000 Monaco 0.0
## 447 2001 Monaco 0.0
## 448 2002 Monaco 0.0
## 449 1999 Mongolia 77.0
## 450 2000 Mongolia 189.0
## 451 2001 Mongolia 8.0
## 452 2002 Mongolia 4.9
## 453 1999 Montenegro 31.0
## 454 2000 Montenegro 114.0
## 455 2001 Montenegro 128.0
## 456 2002 Montenegro 4.9
## 457 1999 Morocco 12.0
## 458 2000 Morocco 6.0
## 459 2001 Morocco 10.0
## 460 2002 Morocco 0.5
## 461 1999 Mozambique 47.0
## 462 2000 Mozambique 18.0
## 463 2001 Mozambique 5.0
## 464 2002 Mozambique 1.3
## 465 1999 Myanmar 5.0
## 466 2000 Myanmar 1.0
## 467 2001 Myanmar 0.0
## 468 2002 Myanmar 0.1
## 469 1999 Namibia 376.0
## 470 2000 Namibia 3.0
## 471 2001 Namibia 1.0
## 472 2002 Namibia 6.8
## 473 1999 Nauru 49.0
## 474 2000 Nauru 0.0
## 475 2001 Nauru 8.0
## 476 2002 Nauru 1.0
## 477 1999 Nepal 5.0
## 478 2000 Nepal 6.0
## 479 2001 Nepal 0.0
## 480 2002 Nepal 0.2
## 481 1999 Netherlands 251.0
## 482 2000 Netherlands 88.0
## 483 2001 Netherlands 190.0
## 484 2002 Netherlands 9.4
## 485 1999 New.Zealand 203.0
## 486 2000 New.Zealand 79.0
## 487 2001 New.Zealand 175.0
## 488 2002 New.Zealand 9.3
## 489 1999 Nicaragua 78.0
## 490 2000 Nicaragua 118.0
## 491 2001 Nicaragua 1.0
## 492 2002 Nicaragua 3.5
## 493 1999 Niger 3.0
## 494 2000 Niger 2.0
## 495 2001 Niger 1.0
## 496 2002 Niger 0.1
## 497 1999 Nigeria 42.0
## 498 2000 Nigeria 5.0
## 499 2001 Nigeria 2.0
## 500 2002 Nigeria 9.1
## 501 1999 Niue 188.0
## 502 2000 Niue 200.0
## 503 2001 Niue 7.0
## 504 2002 Niue 7.0
## 505 1999 Norway 169.0
## 506 2000 Norway 71.0
## 507 2001 Norway 129.0
## 508 2002 Norway 6.7
## 509 1999 Oman 22.0
## 510 2000 Oman 16.0
## 511 2001 Oman 1.0
## 512 2002 Oman 0.7
## 513 1999 Pakistan 0.0
## 514 2000 Pakistan 0.0
## 515 2001 Pakistan 0.0
## 516 2002 Pakistan 0.0
## 517 1999 Palau 306.0
## 518 2000 Palau 63.0
## 519 2001 Palau 23.0
## 520 2002 Palau 6.9
## 521 1999 Panama 285.0
## 522 2000 Panama 104.0
## 523 2001 Panama 18.0
## 524 2002 Panama 7.2
## 525 1999 Papua.New.Guinea 44.0
## 526 2000 Papua.New.Guinea 39.0
## 527 2001 Papua.New.Guinea 1.0
## 528 2002 Papua.New.Guinea 1.5
## 529 1999 Paraguay 213.0
## 530 2000 Paraguay 117.0
## 531 2001 Paraguay 74.0
## 532 2002 Paraguay 7.3
## 533 1999 Peru 163.0
## 534 2000 Peru 160.0
## 535 2001 Peru 21.0
## 536 2002 Peru 6.1
## 537 1999 Philippines 71.0
## 538 2000 Philippines 186.0
## 539 2001 Philippines 1.0
## 540 2002 Philippines 4.6
## 541 1999 Poland 343.0
## 542 2000 Poland 215.0
## 543 2001 Poland 56.0
## 544 2002 Poland 10.9
## 545 1999 Portugal 194.0
## 546 2000 Portugal 67.0
## 547 2001 Portugal 339.0
## 548 2002 Portugal 11.0
## 549 1999 Qatar 1.0
## 550 2000 Qatar 42.0
## 551 2001 Qatar 7.0
## 552 2002 Qatar 0.9
## 553 1999 South.Korea 140.0
## 554 2000 South.Korea 16.0
## 555 2001 South.Korea 9.0
## 556 2002 South.Korea 9.8
## 557 1999 Moldova 109.0
## 558 2000 Moldova 226.0
## 559 2001 Moldova 18.0
## 560 2002 Moldova 6.3
## 561 1999 Romania 297.0
## 562 2000 Romania 122.0
## 563 2001 Romania 167.0
## 564 2002 Romania 10.4
## 565 1999 Russian.Federation 247.0
## 566 2000 Russian.Federation 326.0
## 567 2001 Russian.Federation 73.0
## 568 2002 Russian.Federation 11.5
## 569 1999 Rwanda 43.0
## 570 2000 Rwanda 2.0
## 571 2001 Rwanda 0.0
## 572 2002 Rwanda 6.8
## 573 1999 St..Kitts...Nevis 194.0
## 574 2000 St..Kitts...Nevis 205.0
## 575 2001 St..Kitts...Nevis 32.0
## 576 2002 St..Kitts...Nevis 7.7
## 577 1999 St..Lucia 171.0
## 578 2000 St..Lucia 315.0
## 579 2001 St..Lucia 71.0
## 580 2002 St..Lucia 10.1
## 581 1999 St..Vincent...the.Grenadines 120.0
## 582 2000 St..Vincent...the.Grenadines 221.0
## 583 2001 St..Vincent...the.Grenadines 11.0
## 584 2002 St..Vincent...the.Grenadines 6.3
## 585 1999 Samoa 105.0
## 586 2000 Samoa 18.0
## 587 2001 Samoa 24.0
## 588 2002 Samoa 2.6
## 589 1999 San.Marino 0.0
## 590 2000 San.Marino 0.0
## 591 2001 San.Marino 0.0
## 592 2002 San.Marino 0.0
## 593 1999 Sao.Tome...Principe 56.0
## 594 2000 Sao.Tome...Principe 38.0
## 595 2001 Sao.Tome...Principe 140.0
## 596 2002 Sao.Tome...Principe 4.2
## 597 1999 Saudi.Arabia 0.0
## 598 2000 Saudi.Arabia 5.0
## 599 2001 Saudi.Arabia 0.0
## 600 2002 Saudi.Arabia 0.1
## 601 1999 Senegal 9.0
## 602 2000 Senegal 1.0
## 603 2001 Senegal 7.0
## 604 2002 Senegal 0.3
## 605 1999 Serbia 283.0
## 606 2000 Serbia 131.0
## 607 2001 Serbia 127.0
## 608 2002 Serbia 9.6
## 609 1999 Seychelles 157.0
## 610 2000 Seychelles 25.0
## 611 2001 Seychelles 51.0
## 612 2002 Seychelles 4.1
## 613 1999 Sierra.Leone 25.0
## 614 2000 Sierra.Leone 3.0
## 615 2001 Sierra.Leone 2.0
## 616 2002 Sierra.Leone 6.7
## 617 1999 Singapore 60.0
## 618 2000 Singapore 12.0
## 619 2001 Singapore 11.0
## 620 2002 Singapore 1.5
## 621 1999 Slovakia 196.0
## 622 2000 Slovakia 293.0
## 623 2001 Slovakia 116.0
## 624 2002 Slovakia 11.4
## 625 1999 Slovenia 270.0
## 626 2000 Slovenia 51.0
## 627 2001 Slovenia 276.0
## 628 2002 Slovenia 10.6
## 629 1999 Solomon.Islands 56.0
## 630 2000 Solomon.Islands 11.0
## 631 2001 Solomon.Islands 1.0
## 632 2002 Solomon.Islands 1.2
## 633 1999 Somalia 0.0
## 634 2000 Somalia 0.0
## 635 2001 Somalia 0.0
## 636 2002 Somalia 0.0
## 637 1999 South.Africa 225.0
## 638 2000 South.Africa 76.0
## 639 2001 South.Africa 81.0
## 640 2002 South.Africa 8.2
## 641 1999 Spain 284.0
## 642 2000 Spain 157.0
## 643 2001 Spain 112.0
## 644 2002 Spain 10.0
## 645 1999 Sri.Lanka 16.0
## 646 2000 Sri.Lanka 104.0
## 647 2001 Sri.Lanka 0.0
## 648 2002 Sri.Lanka 2.2
## 649 1999 Sudan 8.0
## 650 2000 Sudan 13.0
## 651 2001 Sudan 0.0
## 652 2002 Sudan 1.7
## 653 1999 Suriname 128.0
## 654 2000 Suriname 178.0
## 655 2001 Suriname 7.0
## 656 2002 Suriname 5.6
## 657 1999 Swaziland 90.0
## 658 2000 Swaziland 2.0
## 659 2001 Swaziland 2.0
## 660 2002 Swaziland 4.7
## 661 1999 Sweden 152.0
## 662 2000 Sweden 60.0
## 663 2001 Sweden 186.0
## 664 2002 Sweden 7.2
## 665 1999 Switzerland 185.0
## 666 2000 Switzerland 100.0
## 667 2001 Switzerland 280.0
## 668 2002 Switzerland 10.2
## 669 1999 Syria 5.0
## 670 2000 Syria 35.0
## 671 2001 Syria 16.0
## 672 2002 Syria 1.0
## 673 1999 Tajikistan 2.0
## 674 2000 Tajikistan 15.0
## 675 2001 Tajikistan 0.0
## 676 2002 Tajikistan 0.3
## 677 1999 Thailand 99.0
## 678 2000 Thailand 258.0
## 679 2001 Thailand 1.0
## 680 2002 Thailand 6.4
## 681 1999 Macedonia 106.0
## 682 2000 Macedonia 27.0
## 683 2001 Macedonia 86.0
## 684 2002 Macedonia 3.9
## 685 1999 Timor.Leste 1.0
## 686 2000 Timor.Leste 1.0
## 687 2001 Timor.Leste 4.0
## 688 2002 Timor.Leste 0.1
## 689 1999 Togo 36.0
## 690 2000 Togo 2.0
## 691 2001 Togo 19.0
## 692 2002 Togo 1.3
## 693 1999 Tonga 36.0
## 694 2000 Tonga 21.0
## 695 2001 Tonga 5.0
## 696 2002 Tonga 1.1
## 697 1999 Trinidad...Tobago 197.0
## 698 2000 Trinidad...Tobago 156.0
## 699 2001 Trinidad...Tobago 7.0
## 700 2002 Trinidad...Tobago 6.4
## 701 1999 Tunisia 51.0
## 702 2000 Tunisia 3.0
## 703 2001 Tunisia 20.0
## 704 2002 Tunisia 1.3
## 705 1999 Turkey 51.0
## 706 2000 Turkey 22.0
## 707 2001 Turkey 7.0
## 708 2002 Turkey 1.4
## 709 1999 Turkmenistan 19.0
## 710 2000 Turkmenistan 71.0
## 711 2001 Turkmenistan 32.0
## 712 2002 Turkmenistan 2.2
## 713 1999 Tuvalu 6.0
## 714 2000 Tuvalu 41.0
## 715 2001 Tuvalu 9.0
## 716 2002 Tuvalu 1.0
## 717 1999 Uganda 45.0
## 718 2000 Uganda 9.0
## 719 2001 Uganda 0.0
## 720 2002 Uganda 8.3
## 721 1999 Ukraine 206.0
## 722 2000 Ukraine 237.0
## 723 2001 Ukraine 45.0
## 724 2002 Ukraine 8.9
## 725 1999 United.Arab.Emirates 16.0
## 726 2000 United.Arab.Emirates 135.0
## 727 2001 United.Arab.Emirates 5.0
## 728 2002 United.Arab.Emirates 2.8
## 729 1999 United.Kingdom 219.0
## 730 2000 United.Kingdom 126.0
## 731 2001 United.Kingdom 195.0
## 732 2002 United.Kingdom 10.4
## 733 1999 Tanzania 36.0
## 734 2000 Tanzania 6.0
## 735 2001 Tanzania 1.0
## 736 2002 Tanzania 5.7
## 737 1999 USA 249.0
## 738 2000 USA 158.0
## 739 2001 USA 84.0
## 740 2002 USA 8.7
## 741 1999 Uruguay 115.0
## 742 2000 Uruguay 35.0
## 743 2001 Uruguay 220.0
## 744 2002 Uruguay 6.6
## 745 1999 Uzbekistan 25.0
## 746 2000 Uzbekistan 101.0
## 747 2001 Uzbekistan 8.0
## 748 2002 Uzbekistan 2.4
## 749 1999 Vanuatu 21.0
## 750 2000 Vanuatu 18.0
## 751 2001 Vanuatu 11.0
## 752 2002 Vanuatu 0.9
## 753 1999 Venezuela 333.0
## 754 2000 Venezuela 100.0
## 755 2001 Venezuela 3.0
## 756 2002 Venezuela 7.7
## 757 1999 Vietnam 111.0
## 758 2000 Vietnam 2.0
## 759 2001 Vietnam 1.0
## 760 2002 Vietnam 2.0
## 761 1999 Yemen 6.0
## 762 2000 Yemen 0.0
## 763 2001 Yemen 0.0
## 764 2002 Yemen 0.1
## 765 1999 Zambia 32.0
## 766 2000 Zambia 19.0
## 767 2001 Zambia 4.0
## 768 2002 Zambia 2.5
## 769 1999 Zimbabwe 64.0
## 770 2000 Zimbabwe 18.0
## 771 2001 Zimbabwe 4.0
## 772 2002 Zimbabwe 4.7
names(df1)[2:3]<-c('country','disease')
names(df1)
## [1] "year" "country" "disease"
df1 %>% filter(year==2000) %>% filter(disease>81.01036) %>%
NROW->result
print(result)
## [1] 76
T<-melt(airquality,id=c("month","day"),na.rm=TRUE)
head(T,3)
## month day variable value
## 1 5 1 ozone 41
## 2 5 2 ozone 36
## 3 5 3 ozone 12
acast(T,day~month~variable)
## , , ozone
##
## 5 6 7 8 9
## 1 41 NA 135 39 96
## 2 36 NA 49 9 78
## 3 12 NA 32 16 73
## 4 18 NA NA 78 91
## 5 NA NA 64 35 47
## 6 28 NA 40 66 32
## 7 23 29 77 122 20
## 8 19 NA 97 89 23
## 9 8 71 97 110 21
## 10 NA 39 85 NA 24
## 11 7 NA NA NA 44
## 12 16 NA 10 44 21
## 13 11 23 27 28 28
## 14 14 NA NA 65 9
## 15 18 NA 7 NA 13
## 16 14 21 48 22 46
## 17 34 37 35 59 18
## 18 6 20 61 23 13
## 19 30 12 79 31 24
## 20 11 13 63 44 16
## 21 1 NA 16 21 13
## 22 11 NA NA 9 23
## 23 4 NA NA NA 36
## 24 32 NA 80 45 7
## 25 NA NA 108 168 14
## 26 NA NA 20 73 30
## 27 NA NA 52 NA NA
## 28 23 NA 82 76 14
## 29 45 NA 50 118 18
## 30 115 NA 64 84 20
## 31 37 NA 59 85 NA
##
## , , solar.r
##
## 5 6 7 8 9
## 1 190 286 269 83 167
## 2 118 287 248 24 197
## 3 149 242 236 77 183
## 4 313 186 101 NA 189
## 5 NA 220 175 NA 95
## 6 NA 264 314 NA 92
## 7 299 127 276 255 252
## 8 99 273 267 229 220
## 9 19 291 272 207 230
## 10 194 323 175 222 259
## 11 NA 259 139 137 236
## 12 256 250 264 192 259
## 13 290 148 175 273 238
## 14 274 332 291 157 24
## 15 65 322 48 64 112
## 16 334 191 260 71 237
## 17 307 284 274 51 224
## 18 78 37 285 115 27
## 19 322 120 187 244 238
## 20 44 137 220 190 201
## 21 8 150 7 259 238
## 22 320 59 258 36 14
## 23 25 91 295 255 139
## 24 92 250 294 212 49
## 25 66 135 223 238 20
## 26 266 127 81 215 193
## 27 NA 47 82 153 145
## 28 13 98 213 203 191
## 29 252 31 275 225 131
## 30 223 138 253 237 223
## 31 279 NA 254 188 NA
##
## , , wind
##
## 5 6 7 8 9
## 1 7.4 8.6 4.1 6.9 6.9
## 2 8.0 9.7 9.2 13.8 5.1
## 3 12.6 16.1 9.2 7.4 2.8
## 4 11.5 9.2 10.9 6.9 4.6
## 5 14.3 8.6 4.6 7.4 7.4
## 6 14.9 14.3 10.9 4.6 15.5
## 7 8.6 9.7 5.1 4.0 10.9
## 8 13.8 6.9 6.3 10.3 10.3
## 9 20.1 13.8 5.7 8.0 10.9
## 10 8.6 11.5 7.4 8.6 9.7
## 11 6.9 10.9 8.6 11.5 14.9
## 12 9.7 9.2 14.3 11.5 15.5
## 13 9.2 8.0 14.9 11.5 6.3
## 14 10.9 13.8 14.9 9.7 10.9
## 15 13.2 11.5 14.3 11.5 11.5
## 16 11.5 14.9 6.9 10.3 6.9
## 17 12.0 20.7 10.3 6.3 13.8
## 18 18.4 9.2 6.3 7.4 10.3
## 19 11.5 11.5 5.1 10.9 10.3
## 20 9.7 10.3 11.5 10.3 8.0
## 21 9.7 6.3 6.9 15.5 12.6
## 22 16.6 1.7 9.7 14.3 9.2
## 23 9.7 4.6 11.5 12.6 10.3
## 24 12.0 6.3 8.6 9.7 10.3
## 25 16.6 8.0 8.0 3.4 16.6
## 26 14.9 8.0 8.6 8.0 6.9
## 27 8.0 10.3 12.0 5.7 13.2
## 28 12.0 11.5 7.4 9.7 14.3
## 29 14.9 14.9 7.4 2.3 8.0
## 30 5.7 8.0 7.4 6.3 11.5
## 31 7.4 NA 9.2 6.3 NA
##
## , , temp
##
## 5 6 7 8 9
## 1 67 78 84 81 91
## 2 72 74 85 81 92
## 3 74 67 81 82 93
## 4 62 84 84 86 93
## 5 56 85 83 85 87
## 6 66 79 83 87 84
## 7 65 82 88 89 80
## 8 59 87 92 90 78
## 9 61 90 92 90 75
## 10 69 87 89 92 73
## 11 74 93 82 86 81
## 12 69 92 73 86 76
## 13 66 82 81 82 77
## 14 68 80 91 80 71
## 15 58 79 80 79 71
## 16 64 77 81 77 78
## 17 66 72 82 79 67
## 18 57 65 84 76 76
## 19 68 73 87 78 68
## 20 62 76 85 78 82
## 21 59 77 74 77 64
## 22 73 76 81 72 71
## 23 61 76 82 75 81
## 24 61 76 86 79 69
## 25 57 75 85 81 63
## 26 58 78 82 86 70
## 27 57 73 86 88 77
## 28 67 80 88 97 75
## 29 81 77 86 94 76
## 30 79 83 83 96 68
## 31 76 NA 81 94 NA
b<-acast(T,month~variable,mean)
b
## ozone solar.r wind temp
## 5 23.61538 181.2963 11.622581 65.54839
## 6 29.44444 190.1667 10.266667 79.10000
## 7 59.11538 216.4839 8.941935 83.90323
## 8 59.96154 171.8571 8.793548 83.96774
## 9 31.44828 167.4333 10.180000 76.90000
d<-acast(T,month~variable,mean,margins=c("grow_row","grand_col"))
d
## ozone solar.r wind temp
## 5 23.61538 181.2963 11.622581 65.54839
## 6 29.44444 190.1667 10.266667 79.10000
## 7 59.11538 216.4839 8.941935 83.90323
## 8 59.96154 171.8571 8.793548 83.96774
## 9 31.44828 167.4333 10.180000 76.90000
a<-matrix(1:6,ncol=2)
a
## [,1] [,2]
## [1,] 1 4
## [2,] 2 5
## [3,] 3 6
apply(a,1,sum)
## [1] 5 7 9
apply(iris[,-5],2,sum)
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## 876.5 458.6 563.7 179.9
colSums(iris[,-5])
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## 876.5 458.6 563.7 179.9
data(iris)
head(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
summary(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
## 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
## Median :5.800 Median :3.000 Median :4.350 Median :1.300
## Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
## 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
## Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
## Species
## setosa :50
## versicolor:50
## virginica :50
##
##
##
cov(iris[,1:4])
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Sepal.Length 0.6856935 -0.0424340 1.2743154 0.5162707
## Sepal.Width -0.0424340 0.1899794 -0.3296564 -0.1216394
## Petal.Length 1.2743154 -0.3296564 3.1162779 1.2956094
## Petal.Width 0.5162707 -0.1216394 1.2956094 0.5810063
cor(iris[,1:4])
## Sepal.Length Sepal.Width Petal.Length Petal.Width
## Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411
## Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259
## Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654
## Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000
library(ISLR)
data("Wage")
glimpse(Wage)
## Rows: 3,000
## Columns: 11
## $ year <int> 2006, 2004, 2003, 2003, 2005, 2008, 2009, 2008, 2006, 2004,…
## $ age <int> 18, 24, 45, 43, 50, 54, 44, 30, 41, 52, 45, 34, 35, 39, 54,…
## $ maritl <fct> 1. Never Married, 1. Never Married, 2. Married, 2. Married,…
## $ race <fct> 1. White, 1. White, 1. White, 3. Asian, 1. White, 1. White,…
## $ education <fct> 1. < HS Grad, 4. College Grad, 3. Some College, 4. College …
## $ region <fct> 2. Middle Atlantic, 2. Middle Atlantic, 2. Middle Atlantic,…
## $ jobclass <fct> 1. Industrial, 2. Information, 1. Industrial, 2. Informatio…
## $ health <fct> 1. <=Good, 2. >=Very Good, 1. <=Good, 2. >=Very Good, 1. <=…
## $ health_ins <fct> 2. No, 2. No, 1. Yes, 1. Yes, 1. Yes, 1. Yes, 1. Yes, 1. Ye…
## $ logwage <dbl> 4.318063, 4.255273, 4.875061, 5.041393, 4.318063, 4.845098,…
## $ wage <dbl> 75.04315, 70.47602, 130.98218, 154.68529, 75.04315, 127.115…
summary(Wage)
## year age maritl race
## Min. :2003 Min. :18.00 1. Never Married: 648 1. White:2480
## 1st Qu.:2004 1st Qu.:33.75 2. Married :2074 2. Black: 293
## Median :2006 Median :42.00 3. Widowed : 19 3. Asian: 190
## Mean :2006 Mean :42.41 4. Divorced : 204 4. Other: 37
## 3rd Qu.:2008 3rd Qu.:51.00 5. Separated : 55
## Max. :2009 Max. :80.00
##
## education region jobclass
## 1. < HS Grad :268 2. Middle Atlantic :3000 1. Industrial :1544
## 2. HS Grad :971 1. New England : 0 2. Information:1456
## 3. Some College :650 3. East North Central: 0
## 4. College Grad :685 4. West North Central: 0
## 5. Advanced Degree:426 5. South Atlantic : 0
## 6. East South Central: 0
## (Other) : 0
## health health_ins logwage wage
## 1. <=Good : 858 1. Yes:2083 Min. :3.000 Min. : 20.09
## 2. >=Very Good:2142 2. No : 917 1st Qu.:4.447 1st Qu.: 85.38
## Median :4.653 Median :104.92
## Mean :4.654 Mean :111.70
## 3rd Qu.:4.857 3rd Qu.:128.68
## Max. :5.763 Max. :318.34
##
Wage$logwage
## [1] 4.318063 4.255273 4.875061 5.041393 4.318063 4.845098 5.133021 4.716003
## [9] 4.778151 4.857332 4.763428 4.397940 4.494155 4.903090 4.903090 4.505150
## [17] 4.414973 5.360552 4.861026 4.591065 5.301030 3.920123 4.447158 5.079181
## [25] 4.544068 5.626186 4.431364 4.176091 4.755875 4.255273 5.276462 4.619093
## [33] 4.397940 4.716003 4.498476 4.477121 4.477121 4.643453 4.662758 4.193125
## [41] 3.544068 4.698970 3.812913 4.301030 4.397940 5.041393 5.590618 5.176091
## [49] 4.193125 4.755875 5.301030 4.623249 5.606885 3.556303 4.740363 4.397940
## [57] 5.301030 5.000000 4.602060 4.716003 5.029384 4.763428 4.353339 4.477121
## [65] 4.832509 4.814913 5.064458 5.301030 4.602060 4.255273 4.544068 4.397940
## [73] 4.397940 4.612784 4.544068 4.602060 5.591980 4.397940 4.732394 4.477121
## [81] 4.857332 4.670246 4.190332 3.942008 4.447158 4.342423 4.505150 4.220631
## [89] 4.875061 4.851258 4.876910 4.602060 4.342423 4.681241 4.397940 4.602060
## [97] 4.591065 5.301030 5.053078 4.976350 4.778151 4.799341 4.716003 4.230449
## [105] 4.740363 4.556303 4.477121 4.163161 4.857332 4.740363 4.724276 4.397940
## [113] 4.329357 4.719721 4.447158 4.544068 4.740363 5.176091 5.623217 4.623249
## [121] 4.518514 4.462398 5.093422 4.936011 4.556303 4.204120 4.876680 4.505150
## [129] 4.740363 4.371068 4.650065 4.886491 4.954243 4.812913 4.903090 4.021189
## [137] 4.672098 4.778151 4.477121 4.487845 4.397940 4.544068 4.672098 4.079181
## [145] 4.176091 4.792392 5.060698 4.863323 5.176091 4.079181 4.544068 4.903090
## [153] 4.397940 4.397940 5.033424 4.919078 4.318063 4.869232 4.653213 3.903090
## [161] 4.819544 4.812913 4.358696 4.301030 4.929419 4.845098 4.230449 4.435462
## [169] 4.447158 4.857332 4.255273 4.342423 5.000000 5.000000 5.170262 4.591065
## [177] 4.977724 4.602060 4.949390 4.812913 4.863323 4.716003 4.643453 4.778151
## [185] 5.021189 4.623249 4.602060 4.602060 4.602060 4.544068 5.025306 4.653213
## [193] 4.176091 4.556303 5.158362 5.264818 4.740363 5.079181 4.494155 4.792392
## [201] 4.301030 4.845098 4.778151 3.544068 4.740363 4.447158 5.763128 4.954243
## [209] 4.875061 4.301030 4.875061 4.318063 5.043362 4.653213 4.292079 4.812913
## [217] 5.060698 4.397940 4.675219 4.369216 4.301030 4.544068 4.602060 5.176091
## [225] 4.301030 4.602060 4.544068 4.556303 4.845098 4.602060 4.561101 4.698970
## [233] 4.778151 5.176091 4.113943 4.397940 5.546741 4.397940 4.397940 4.021189
## [241] 4.322219 4.875061 3.778151 4.740363 4.740363 4.397940 4.227887 4.698970
## [249] 4.579784 4.133539 4.579784 4.903090 4.113943 4.778151 4.176091 4.698970
## [257] 4.653213 4.301030 4.954243 4.505150 4.301030 4.903090 4.698970 4.518514
## [265] 4.556303 5.053078 4.653213 4.602060 4.000000 3.477121 4.778151 4.698970
## [273] 4.698970 4.778151 4.707570 4.538574 4.698970 4.778151 4.778151 3.954243
## [281] 3.778151 4.763428 4.778151 5.000000 4.623249 4.544068 4.462398 4.954243
## [289] 4.204120 4.778151 4.661245 4.778151 5.176091 4.176091 4.447158 4.278754
## [297] 4.491362 4.176091 4.982271 4.477121 3.716003 4.225309 4.397940 4.301030
## [305] 4.875061 5.000000 4.397245 4.146128 4.544068 4.528917 4.342423 4.778151
## [313] 4.380211 4.462398 4.897627 4.832509 4.531479 4.278754 4.778151 4.255273
## [321] 4.845098 4.740363 4.477121 4.000000 4.431364 4.447158 4.954243 4.707570
## [329] 4.380211 4.579784 5.146128 4.923488 4.322219 4.301030 5.000000 4.556303
## [337] 4.477121 4.698970 4.397940 4.778151 4.845098 4.447158 4.397940 4.778151
## [345] 5.096910 4.653213 4.602060 5.641006 4.929419 5.176091 4.919078 5.230449
## [353] 4.505150 4.447158 4.977724 4.792392 4.623249 4.690196 3.653405 4.531479
## [361] 4.838849 5.255273 5.049218 4.477121 4.079181 4.301030 4.505150 4.778151
## [369] 5.021189 5.606885 4.579784 4.221153 4.845098 5.606885 4.716003 4.845098
## [377] 4.477121 4.740363 4.245513 4.544068 4.846337 5.079181 5.146128 4.954243
## [385] 4.748188 4.278754 4.301030 4.845098 3.041393 4.380211 4.633468 4.748188
## [393] 4.579784 4.653213 4.748188 4.537819 4.812913 4.778151 4.568202 4.431364
## [401] 4.845098 4.556303 4.397940 4.633468 4.716003 4.544068 4.845098 4.653213
## [409] 4.221153 4.857332 4.969309 4.643453 4.518514 4.556303 4.929419 4.775392
## [417] 4.544068 4.740363 5.010724 4.579784 4.505150 4.397940 4.875061 5.017033
## [425] 4.875061 4.977724 4.505150 4.732394 4.477121 5.060698 4.698970 4.431364
## [433] 5.079188 3.869232 4.079181 4.397940 4.477121 4.477121 4.968483 4.707570
## [441] 4.778151 4.792392 5.606885 4.657534 4.234264 4.477121 4.491362 5.146128
## [449] 4.892095 5.301030 4.531479 5.000000 4.785344 4.414973 4.662758 5.590618
## [457] 4.653213 4.845098 5.060698 5.000000 4.176091 4.653213 4.361728 4.936011
## [465] 4.724276 4.380211 4.176091 4.716003 4.653213 5.176091 4.602060 4.653213
## [473] 4.260071 4.544068 4.845098 4.579784 4.698970 4.320146 4.176091 4.986772
## [481] 4.397940 4.845098 4.301030 4.176091 4.602060 4.380211 4.301030 4.477121
## [489] 4.778151 5.650820 4.778151 4.672098 4.605305 4.690196 4.740363 4.748188
## [497] 4.875061 4.380211 4.672098 3.133858 4.746517 4.643453 5.217484 5.750441
## [505] 4.602060 4.857332 4.477121 4.000000 4.602060 4.778151 4.523538 4.845098
## [513] 3.730621 4.698970 4.414973 5.626900 4.602060 5.176091 4.431364 5.096910
## [521] 4.397940 4.875061 4.845098 4.278754 4.653213 5.230449 5.176091 4.939519
## [529] 4.301030 4.193125 4.397940 4.653213 4.698970 5.041393 4.672098 5.626900
## [537] 4.477121 4.505150 4.672098 4.041393 4.397940 4.681241 5.278754 4.518514
## [545] 5.301030 3.477121 4.653213 4.612784 4.447158 4.414973 4.579784 4.795880
## [553] 4.897627 5.000000 4.653213 4.397940 4.505150 4.672098 4.740363 3.977724
## [561] 4.477121 4.193125 4.568202 5.607283 4.576341 5.301030 4.812913 4.602060
## [569] 4.544068 4.397940 5.041393 4.698970 4.812913 4.301030 4.681241 4.301030
## [577] 4.477121 3.301030 4.544068 4.629410 5.606885 4.544068 4.397940 4.477121
## [585] 4.698970 4.387390 5.000000 5.000000 4.397940 4.778151 4.388101 4.518514
## [593] 4.694605 4.653213 4.176091 4.342423 4.602060 4.602060 5.060698 3.903090
## [601] 4.505150 4.716003 5.000000 4.892095 4.903090 4.778151 4.477121 4.698970
## [609] 4.875061 4.491362 4.633468 4.342423 5.008600 4.633468 4.505150 4.247482
## [617] 4.672098 4.477121 4.698970 5.021189 5.000000 4.204120 4.643453 4.602060
## [625] 4.903090 3.778151 4.759668 4.954243 4.973128 4.903090 4.778151 5.243038
## [633] 5.079181 4.564678 4.710117 5.000000 4.602060 4.397940 4.778151 4.845098
## [641] 4.653213 4.724276 5.641006 4.740378 4.716003 4.903090 4.322219 4.785330
## [649] 4.778151 3.301030 5.204120 4.176091 4.954243 4.740363 4.909695 4.763428
## [657] 4.602060 5.626900 4.544068 4.544068 4.568202 4.322219 4.653213 4.556303
## [665] 4.000000 4.491362 4.977724 4.573336 4.875061 4.431364 4.998259 3.903090
## [673] 4.954243 4.748188 4.176091 4.447158 4.623249 4.556303 4.602060 4.991226
## [681] 4.944483 4.698970 4.845098 4.748188 4.079181 4.342423 4.954243 4.261406
## [689] 5.301030 4.579784 4.602060 5.230449 4.397940 5.079181 4.158362 4.477121
## [697] 4.301030 4.977724 4.954243 4.342423 4.819544 4.778151 5.631919 4.000000
## [705] 5.041393 5.193125 4.778151 4.477121 4.518514 4.079181 4.819544 4.698970
## [713] 4.544068 4.763428 4.176091 4.579784 4.770852 4.954243 4.755112 4.322219
## [721] 4.556303 4.716003 4.643453 4.991226 4.477121 4.778151 4.612784 4.792392
## [729] 5.267172 4.778151 5.590618 5.161368 4.897627 5.041393 5.041393 4.778151
## [737] 4.556303 4.698970 4.716003 4.903090 4.453196 4.778151 4.477121 4.531479
## [745] 4.698970 4.826075 4.851258 4.579784 5.290035 4.531479 4.544068 5.000000
## [753] 4.380211 4.778151 4.477121 4.544068 5.011105 5.176091 4.301030 4.829304
## [761] 5.626900 4.681241 4.106599 4.522183 4.698970 4.204120 4.740363 5.139879
## [769] 4.875061 4.845098 4.763428 4.812913 4.792392 4.875061 4.397940 3.602060
## [777] 4.653213 4.309630 4.860338 4.432007 5.225309 4.662758 5.096910 4.146128
## [785] 4.903090 4.795185 4.544068 4.886491 4.892095 4.977724 4.778151 5.012837
## [793] 5.631084 4.587711 4.602060 4.544068 5.176091 5.113943 4.544068 4.939519
## [801] 4.361728 4.954247 4.755875 5.000000 4.477121 4.505150 4.954243 4.144605
## [809] 4.176091 5.021189 4.812913 4.778151 4.380211 4.644439 4.017033 4.602060
## [817] 4.602060 5.265033 4.633468 5.103804 4.243038 4.602060 4.740363 4.602060
## [825] 4.556303 4.414973 4.761687 4.000000 4.929419 4.875061 5.641006 5.096910
## [833] 5.188585 4.838849 4.255273 4.770852 4.267172 4.740363 4.929419 4.000000
## [841] 4.544068 4.387390 4.491362 4.763428 4.845098 4.397940 3.959041 4.602060
## [849] 4.146128 5.278754 4.623249 4.681241 3.936514 4.602060 4.146128 5.000000
## [857] 4.602060 4.875061 4.623249 4.602060 4.380211 5.079181 4.903090 5.079181
## [865] 4.518514 4.322219 4.913814 4.903090 4.406540 5.176091 4.778166 4.797960
## [873] 4.544068 4.602060 4.819544 4.778151 4.414973 4.397940 4.653213 4.602060
## [881] 4.913814 4.397940 4.226961 4.397940 4.740363 4.770852 4.602060 4.778151
## [889] 4.778151 4.812913 4.698970 4.633468 5.096910 4.763428 4.525045 4.605305
## [897] 4.008600 4.623249 5.000000 4.748188 4.301030 5.590618 4.863323 4.568202
## [905] 4.477121 4.653213 4.875061 5.249902 4.770852 4.380211 4.283301 5.000000
## [913] 4.310056 4.778151 4.857332 4.477121 5.590618 4.653213 4.531479 4.255273
## [921] 5.301030 4.633468 4.633468 4.176091 4.698970 4.845098 4.544068 4.217484
## [929] 4.832509 5.107210 4.397940 4.724276 4.342423 4.318063 4.857332 4.079181
## [937] 4.155336 4.431364 4.542626 4.414973 4.778151 4.397940 4.204120 5.113943
## [945] 4.602060 4.954243 4.963788 3.556303 4.698970 4.709660 4.886491 5.000000
## [953] 4.301030 4.967726 4.602060 5.606885 5.301030 4.447189 4.698970 4.111733
## [961] 4.778151 4.982271 4.724276 4.672098 4.672098 4.845098 4.477121 4.973128
## [969] 5.077731 4.477121 4.176091 5.176091 4.000000 4.698970 4.403035 4.740363
## [977] 4.960285 5.079181 4.544068 4.000000 4.301030 5.079181 5.000000 4.477136
## [985] 4.623249 4.716003 4.672098 4.838849 4.698970 4.531479 4.000000 4.568202
## [993] 4.740363 4.544068 4.556303 4.934498 4.397940 4.544068 4.477121 4.929419
## [1001] 4.494155 4.531479 4.000000 4.544068 4.230449 4.531479 4.740363 4.698970
## [1009] 4.698970 4.344392 4.544068 4.623249 4.778151 4.892095 5.056905 5.641006
## [1017] 5.204120 4.779957 4.272306 4.447158 4.278754 4.929419 4.623249 4.698970
## [1025] 4.477121 4.748188 5.255273 4.462398 4.328787 5.113943 4.041393 4.602060
## [1033] 4.531479 4.602060 4.531479 4.623249 4.977724 4.342423 4.505150 4.845098
## [1041] 4.414973 4.602060 4.161368 4.494155 4.477121 4.845098 4.204120 5.000000
## [1049] 4.812913 4.892095 4.778151 4.788875 4.748188 4.724276 4.778151 5.000000
## [1057] 4.113943 4.561101 4.491362 4.851258 4.857332 4.698970 4.740363 4.332438
## [1065] 4.812913 4.602060 4.633468 4.568202 4.763428 4.505150 4.653213 4.301030
## [1073] 4.681241 4.602060 4.096910 4.812913 4.397940 4.963788 4.235528 4.369216
## [1081] 4.857332 4.000000 4.903090 4.653213 5.626186 4.359456 4.414973 4.763428
## [1089] 4.778151 4.698970 4.079181 4.755875 4.113943 4.740363 4.361728 4.806180
## [1097] 5.000000 4.000000 4.190332 4.843855 4.397940 4.851258 4.477121 4.812913
## [1105] 4.653213 4.477121 4.880814 4.301030 4.653213 4.517460 4.812913 4.880167
## [1113] 5.735190 4.257894 4.440909 4.633468 4.643453 4.544068 4.857332 4.666518
## [1121] 4.597695 4.892095 4.361728 4.875061 4.698970 4.568202 4.698970 5.641006
## [1129] 4.544068 5.301030 4.477121 4.477121 4.579784 4.681241 4.561101 4.698970
## [1137] 4.470352 4.486742 5.113943 4.550669 4.806180 4.886491 4.568202 4.491362
## [1145] 4.397940 4.301030 4.698970 4.606166 4.899821 4.518514 4.696356 4.255273
## [1153] 4.971234 4.602060 4.544068 4.477121 4.544068 4.397940 4.748188 4.681241
## [1161] 4.619093 4.973137 4.977724 5.096910 4.397940 3.698970 4.579784 4.763428
## [1169] 4.778151 4.431364 4.486572 4.462398 4.322219 4.591065 4.477121 4.697229
## [1177] 4.380211 5.113943 4.934498 4.977724 4.447158 4.602082 4.875061 4.230449
## [1185] 4.939519 5.176091 4.342423 4.903090 4.602060 5.000000 4.380211 4.857332
## [1193] 5.197281 4.544068 4.494155 4.869232 4.350248 5.000000 5.221886 4.857332
## [1201] 4.991226 4.672098 4.748188 4.518514 5.000000 4.716003 4.838849 4.176091
## [1209] 4.681241 4.000000 4.903090 4.283301 4.875061 4.518514 5.041393 4.740363
## [1217] 4.477121 4.389166 4.544068 4.954243 4.977724 4.544068 4.845098 4.732394
## [1225] 4.621000 4.903090 4.845098 4.477121 4.361728 5.763128 4.414973 4.579784
## [1233] 4.475671 5.215844 4.698970 4.556303 4.079181 4.778151 4.875061 4.903090
## [1241] 4.477121 4.210185 4.422705 4.778151 4.662758 4.447158 4.301030 4.934498
## [1249] 4.812913 4.025306 4.954243 5.037426 4.778151 4.740363 4.795185 4.579784
## [1257] 4.954243 4.318063 4.494155 5.290035 4.178401 4.681241 4.397940 4.342423
## [1265] 4.342423 4.944483 4.653213 4.397940 4.944483 4.380211 4.380211 5.591980
## [1273] 4.826075 5.000000 4.778151 5.176091 4.698970 4.845098 4.707570 4.518514
## [1281] 4.653213 5.606885 5.591980 5.096910 4.653213 4.812913 4.778151 5.000000
## [1289] 5.167317 4.568202 4.574031 4.602060 4.602060 5.742793 4.698970 4.477121
## [1297] 4.929419 3.869818 4.653213 4.602060 4.892095 4.748188 4.795185 5.000000
## [1305] 4.792392 4.973128 4.505150 5.000000 4.812913 5.591980 4.361728 4.681241
## [1313] 5.000000 4.491362 4.875061 4.477121 4.255273 4.688420 4.389166 4.176091
## [1321] 4.176091 4.778151 4.301030 4.000000 4.193125 5.606885 4.903090 3.845098
## [1329] 4.342423 4.397940 4.602060 5.113943 4.544068 4.740363 4.477121 4.778151
## [1337] 5.087071 4.301030 4.602060 4.643453 4.690196 4.681241 4.954243 5.079181
## [1345] 4.720159 5.130334 4.568202 4.397940 4.000000 4.681241 4.919078 4.176091
## [1353] 5.190332 4.193125 4.653213 5.176091 4.740363 4.342423 4.544068 4.845098
## [1361] 4.544068 4.643453 4.602060 4.477121 4.913814 4.544068 4.477121 4.579784
## [1369] 3.778151 4.763428 4.845098 5.606885 4.698970 4.204120 4.851258 4.778151
## [1377] 4.309971 4.963788 4.477121 4.857332 4.799341 4.591065 4.763428 4.698970
## [1385] 4.602060 5.079181 4.778151 5.096910 4.707570 4.477121 4.000000 4.844477
## [1393] 4.812913 4.301030 4.602060 4.544068 4.477121 4.778151 4.176091 4.954243
## [1401] 4.903090 4.342423 4.619093 4.602060 4.556303 4.301030 4.812913 4.602060
## [1409] 4.778151 4.845098 4.977724 4.778151 4.857332 4.531479 4.230449 4.602060
## [1417] 4.698970 3.778151 5.243038 3.477121 5.041393 4.740363 5.000000 4.623249
## [1425] 4.812913 4.778151 4.318063 5.079181 4.653213 4.397940 4.602060 4.653213
## [1433] 4.556303 4.602060 4.431364 5.176091 4.778151 4.544068 4.544068 4.623249
## [1441] 4.447158 4.959041 4.778151 4.556303 4.716003 4.088136 4.602060 4.602060
## [1449] 4.462398 4.533073 4.903090 4.977724 5.000000 4.477121 4.685742 4.301030
## [1457] 4.301030 4.666920 4.361728 4.284431 4.301052 3.643453 4.602060 3.920228
## [1465] 5.138502 4.812913 4.301030 4.707570 4.832509 4.318063 4.556303 4.778151
## [1473] 4.845098 4.255273 5.113943 4.935598 3.230449 4.399950 4.477121 4.757396
## [1481] 5.113943 5.008600 4.301030 5.626186 4.919078 4.863323 4.716003 5.185712
## [1489] 3.903090 4.414973 4.301030 4.531479 4.740363 4.431364 4.342423 4.380211
## [1497] 4.875061 5.000000 4.176091 4.903090 4.544068 4.544068 4.505150 4.716012
## [1505] 4.681241 5.255273 4.977724 4.931875 3.982271 4.533174 4.397940 4.857332
## [1513] 4.913814 5.079181 4.698970 5.000000 4.685742 4.206826 4.770852 4.698970
## [1521] 3.857332 4.141763 4.255273 4.602060 4.530353 4.602082 4.740363 4.491362
## [1529] 4.778151 5.000000 4.505150 4.778151 4.490520 4.301030 4.255273 4.537819
## [1537] 4.255273 4.602060 4.591065 4.000000 4.462398 4.778151 5.079181 4.079181
## [1545] 4.529687 4.146128 4.740363 4.176091 5.000000 4.695832 4.602060 4.662758
## [1553] 4.903090 5.243038 4.653213 4.414973 4.397940 4.342423 4.447158 4.301030
## [1561] 4.669159 4.556303 4.255273 4.662758 4.033424 4.544068 4.662758 4.318063
## [1569] 4.778151 4.929419 4.602060 4.556303 4.544068 4.812913 4.505150 4.477121
## [1577] 4.698970 4.447158 5.255273 4.623249 5.000000 5.146128 4.296665 4.477121
## [1585] 5.606885 4.633468 5.079181 4.812913 4.518514 4.447158 4.698970 4.740363
## [1593] 4.434569 4.740363 4.049218 4.653213 4.832509 4.690196 4.176091 4.698970
## [1601] 4.260071 4.977724 4.623249 4.431364 4.903090 4.579784 5.041393 5.301030
## [1609] 4.089905 4.518514 4.698970 4.740363 4.193125 4.531479 4.544068 4.778151
## [1617] 4.886491 4.845098 4.602060 3.698970 4.929419 4.633468 4.380211 4.716003
## [1625] 4.130334 4.255273 4.454845 4.602060 4.732394 4.612784 4.113943 4.732796
## [1633] 4.903090 4.653232 4.698970 5.623217 5.000000 5.000000 4.698970 4.397940
## [1641] 4.380211 4.698970 5.000000 4.176091 4.480725 4.518514 4.301030 4.255273
## [1649] 4.857332 4.544068 4.591065 4.892095 4.903090 4.518514 5.079138 4.602060
## [1657] 4.740363 4.579784 4.585461 4.653213 4.698970 4.892095 4.778151 4.301030
## [1665] 4.653213 4.127623 4.579784 4.982271 4.414973 5.000000 3.903090 4.301030
## [1673] 4.301030 4.845098 4.698970 4.120574 4.713491 4.929419 4.845098 4.322219
## [1681] 4.934498 4.778151 4.698970 4.193180 4.294466 4.875061 5.623217 4.464877
## [1689] 4.698970 4.778151 4.653213 4.919078 4.431364 5.278754 4.799341 4.568483
## [1697] 4.857332 5.000000 4.447158 4.477121 4.602060 5.000000 4.397940 4.982271
## [1705] 5.004321 4.579784 4.770852 4.602060 4.778151 4.380211 4.778151 5.079181
## [1713] 5.176091 4.301030 5.041393 4.623249 4.875061 4.740363 4.662758 4.397940
## [1721] 4.903090 4.579784 4.698970 5.146128 4.216957 4.301030 4.518514 4.204120
## [1729] 4.556303 4.591065 4.698970 4.397940 4.505150 4.698970 5.000000 4.437100
## [1737] 4.623249 4.653213 4.653213 4.602060 4.619093 5.004321 4.301030 5.079181
## [1745] 4.778151 4.782523 4.681241 5.042576 4.322219 4.775246 4.342423 4.130334
## [1753] 5.204120 5.590618 4.954243 5.230449 4.278754 3.903090 4.397940 4.778151
## [1761] 4.579784 4.716003 4.623249 4.845098 4.477121 4.431364 4.361728 3.836577
## [1769] 4.889302 4.120574 4.602060 4.193125 4.690196 4.602060 5.029384 4.342423
## [1777] 4.963788 4.829947 4.325598 4.698970 5.176091 4.079181 4.602060 4.556303
## [1785] 4.653213 3.903090 4.875061 3.778151 4.778151 4.698970 4.318063 4.518514
## [1793] 4.662758 4.301030 5.136721 4.929419 4.623249 4.477121 4.361728 4.812913
## [1801] 4.755875 4.505150 4.698970 4.653213 4.778151 4.544068 4.954243 4.857332
## [1809] 4.301030 4.937016 4.544068 4.301030 4.681241 4.167317 4.929419 4.491362
## [1817] 4.602060 4.698970 4.505150 4.494155 4.632457 4.778151 5.000000 4.740363
## [1825] 4.867409 4.707570 4.740363 5.000000 5.623217 3.176091 4.643453 4.778151
## [1833] 4.272306 5.623217 4.954243 4.602060 4.690196 4.380211 4.369253 4.414973
## [1841] 4.494155 4.875061 4.697805 4.763428 4.301030 4.397940 4.392697 4.681241
## [1849] 4.342423 4.477121 4.556303 4.431364 4.602060 4.619093 4.477121 4.477121
## [1857] 4.544068 4.853589 4.916454 4.681241 4.812913 4.518514 4.361728 5.041393
## [1865] 4.913814 4.397940 4.334454 4.698970 4.474930 4.845098 5.037426 4.698970
## [1873] 4.929419 5.103804 4.929419 3.806180 4.670246 4.740363 4.301030 4.322219
## [1881] 4.954243 4.698970 5.626900 4.380211 5.113943 4.322219 4.606037 4.633468
## [1889] 4.776701 4.763428 4.816241 5.000000 4.342423 4.698970 4.662758 5.079181
## [1897] 5.008600 4.602060 4.653232 4.113943 4.662758 4.681241 4.260071 5.079181
## [1905] 4.602060 4.716003 4.322219 4.544068 4.477121 4.812913 4.602060 4.342423
## [1913] 4.462398 5.176091 4.612784 4.740363 4.207365 4.380211 4.505150 4.059942
## [1921] 4.740363 4.602060 4.494155 5.022597 4.477121 4.477121 4.653213 4.176091
## [1929] 4.857332 5.041393 4.875061 4.792392 4.397940 4.702051 5.025306 4.255273
## [1937] 4.447158 4.623249 4.447158 4.623249 4.778151 4.301030 4.301030 4.931671
## [1945] 4.698970 5.021189 5.176091 4.643453 4.857332 4.690196 4.477121 4.556303
## [1953] 4.591065 4.954243 4.812913 4.550228 5.000000 4.653213 4.812913 4.549616
## [1961] 4.845098 3.380211 4.863323 4.698970 4.602060 4.505150 4.260071 4.556303
## [1969] 4.698970 5.204120 5.079181 4.255273 4.875061 4.662758 4.698970 4.579555
## [1977] 4.716003 5.148757 4.863323 4.845098 4.903090 4.544068 4.544068 4.574031
## [1985] 5.623217 3.477121 4.436163 4.176091 4.439333 5.122216 4.544068 4.903090
## [1993] 4.397940 4.903090 4.740363 4.875061 4.653213 5.025306 4.826075 5.000000
## [2001] 4.491362 4.414973 4.544068 5.033424 3.845098 4.863323 4.875061 4.544068
## [2009] 4.602060 4.857332 4.301030 4.707570 4.602060 4.518514 4.414973 4.778151
## [2017] 5.000000 4.556303 5.096910 5.633009 4.740363 4.633468 4.477121 4.477121
## [2025] 4.255273 4.623249 5.626186 4.477121 4.653213 4.845098 4.602060 5.146128
## [2033] 4.318063 4.278754 3.544068 4.544068 5.176091 4.944483 3.301030 4.845098
## [2041] 4.740363 4.845098 4.414973 4.623249 4.462398 4.146128 4.744293 4.397940
## [2049] 4.623249 4.623249 4.636488 4.732394 5.000000 5.000000 4.660524 4.857332
## [2057] 3.946452 4.397940 5.064458 3.991226 4.845098 4.272306 4.977724 4.544068
## [2065] 4.851258 4.633468 4.494155 4.653213 4.924279 5.176091 4.579784 4.612784
## [2073] 4.397940 4.041393 4.662758 4.929419 4.690196 4.342423 4.698970 4.544068
## [2081] 4.322219 4.311754 4.397940 4.556303 4.977724 4.944483 5.000000 4.602060
## [2089] 4.079181 4.778151 4.164353 4.892095 4.079181 4.653213 4.096910 3.431525
## [2097] 4.698970 4.176091 4.544068 4.176091 4.477121 5.176091 5.243038 4.380211
## [2105] 4.711200 4.778151 4.397940 5.230449 5.041393 4.826075 5.626900 4.601082
## [2113] 4.477121 4.740363 4.977724 4.929419 5.546741 4.732394 4.770852 4.653213
## [2121] 4.875061 4.812913 4.698970 4.698970 4.929419 4.676876 4.662758 4.799341
## [2129] 4.447158 4.518514 4.505150 4.653213 4.991226 4.397940 4.681241 4.778151
## [2137] 4.653213 4.845098 4.477121 4.716003 4.397940 4.812913 5.176091 4.414973
## [2145] 4.632457 4.792392 4.954243 4.672098 5.591980 4.698970 4.602060 5.301030
## [2153] 4.698970 4.832509 4.740363 5.079181 4.602060 5.079181 4.832509 4.892095
## [2161] 4.318063 4.698970 4.146128 4.556303 4.716003 4.361728 4.602060 4.414973
## [2169] 4.361728 4.397940 4.260071 5.000000 4.872156 5.301030 5.000000 4.477121
## [2177] 4.565848 4.653213 4.130977 4.924279 4.477121 5.049218 5.176091 4.812913
## [2185] 4.929419 4.146128 4.301030 5.204120 4.755875 4.544068 5.000000 3.000000
## [2193] 4.716003 5.000000 4.397940 4.255273 4.531479 4.477121 4.494155 4.633468
## [2201] 4.301030 4.193125 4.763428 4.623249 4.755875 4.838849 4.415724 4.724276
## [2209] 4.778151 4.477121 3.989539 4.763428 4.778151 4.851258 4.477121 4.698970
## [2217] 4.230449 4.556303 4.903090 4.397940 4.230449 4.903090 4.397940 5.015259
## [2225] 4.544068 4.322219 4.954243 5.170103 5.290035 4.544068 4.397940 4.397940
## [2233] 4.336460 4.544068 4.653213 4.707570 4.531479 4.602060 4.447158 4.322219
## [2241] 4.278754 3.447158 4.531479 4.643453 4.716003 5.197281 4.698970 3.602060
## [2249] 4.301030 4.591065 4.051153 4.778151 4.414973 4.397940 5.426970 4.518514
## [2257] 4.755875 4.954243 4.397940 4.511883 4.740363 5.079181 4.602060 4.531479
## [2265] 5.623217 4.414973 4.602060 4.826075 4.612784 5.134623 4.414973 4.919078
## [2273] 5.626900 4.778151 4.778151 4.740363 4.113943 4.778151 4.892095 4.414973
## [2281] 5.000000 5.000000 4.574031 5.041393 4.477121 4.633468 5.641006 4.672098
## [2289] 5.000009 4.716003 5.000000 4.690196 4.653213 4.456366 4.633468 4.334454
## [2297] 4.826075 4.204120 4.000000 5.113943 4.518540 4.361142 4.716003 5.021189
## [2305] 4.792392 4.763428 4.406540 4.924279 3.698970 5.041393 5.041393 4.965117
## [2313] 4.361728 4.447158 5.071882 4.193125 4.716003 4.507856 4.857332 5.000000
## [2321] 4.740363 4.477121 4.544068 4.477121 5.204120 4.477121 4.531479 4.278754
## [2329] 4.806180 4.278754 4.414973 5.176091 4.954243 4.556303 4.954243 4.623249
## [2337] 4.880814 4.194570 4.778151 5.096910 4.740363 4.812913 3.693727 4.255803
## [2345] 4.301030 4.613926 4.431364 4.447158 4.954243 4.511883 4.740363 5.590618
## [2353] 5.079181 4.544068 4.939325 4.829304 4.732394 5.204120 4.633468 4.342423
## [2361] 4.698970 4.959041 4.623249 4.778151 4.633468 4.857332 4.113943 4.397975
## [2369] 5.623217 5.591980 4.653213 4.973128 4.778151 4.544068 4.301030 5.278754
## [2377] 5.130334 4.243038 4.826075 4.749427 4.491362 5.623217 5.139879 4.602060
## [2385] 5.000000 4.740363 4.857332 4.602060 4.857332 4.944483 4.716003 4.832509
## [2393] 4.544068 4.778151 4.278754 4.653213 5.626900 4.301030 4.875061 4.359456
## [2401] 4.505150 4.763428 4.602060 5.113943 4.397940 4.431364 4.740363 4.301030
## [2409] 4.745855 3.970812 4.778151 4.380211 4.033424 4.505150 4.653213 4.477121
## [2417] 4.991226 4.698970 4.778151 4.954243 4.690196 4.653213 4.698970 3.301030
## [2425] 4.255273 5.117271 4.845098 4.763428 4.643453 3.544068 4.605305 4.172369
## [2433] 4.698970 4.845098 4.740363 4.763428 4.903090 4.176091 4.963788 4.342423
## [2441] 4.602060 4.544068 4.322219 4.845098 5.113943 4.892095 4.832509 4.494155
## [2449] 4.431364 5.130334 5.079181 4.970997 4.301030 4.255273 4.301030 4.544068
## [2457] 4.421143 4.903090 4.462398 4.255273 4.875061 4.914888 4.736397 4.664642
## [2465] 4.477121 4.755875 4.963788 4.000000 3.875061 4.812913 4.767156 5.606885
## [2473] 4.977724 4.778151 4.579784 5.000000 4.845098 5.591980 4.698970 3.949390
## [2481] 4.740363 4.903090 4.477121 4.556303 4.342423 4.755875 4.397940 4.879933
## [2489] 4.763428 4.230449 4.832509 4.623249 4.944483 4.681241 4.060698 4.602060
## [2497] 4.447158 4.880814 4.397940 4.462398 5.060698 4.176149 4.505150 3.845098
## [2505] 4.447158 4.939519 5.000000 4.397940 4.778151 4.264818 4.176091 4.176091
## [2513] 4.832509 4.812913 4.260071 4.724276 4.462398 4.414973 4.875061 4.763428
## [2521] 5.176091 4.778151 4.230449 5.590618 4.602060 4.528917 4.698970 4.477121
## [2529] 4.778151 4.318063 4.740363 5.623217 5.626186 4.389166 4.740363 5.113943
## [2537] 4.447158 3.778151 4.623249 4.477121 4.799341 4.698970 4.380211 4.845098
## [2545] 4.747412 4.591087 4.973128 4.913814 4.612784 4.342423 4.505150 4.462398
## [2553] 4.819544 4.176091 4.880814 4.204120 5.278754 5.113943 4.176091 4.792392
## [2561] 4.623249 5.000000 5.069231 4.698970 4.942008 4.885469 4.778151 4.579784
## [2569] 4.903090 4.278754 4.477121 3.903090 5.004321 4.806180 4.623249 4.602060
## [2577] 4.653213 4.397940 4.301030 4.414973 5.000000 4.778151 4.863323 4.903090
## [2585] 4.380211 4.221153 3.698970 4.880814 4.903090 4.740363 4.838849 4.759668
## [2593] 4.698970 4.397245 4.477121 4.845098 4.653213 4.681241 4.698970 4.763428
## [2601] 4.681241 4.278754 5.079181 5.000000 4.963788 4.579784 4.954243 5.000000
## [2609] 4.698970 4.079181 5.027350 4.397940 3.778151 4.568202 4.623249 4.875061
## [2617] 4.414973 4.875061 4.491362 4.444045 5.113943 4.612784 4.602060 4.812913
## [2625] 5.096910 4.447158 4.322219 4.176091 4.528917 4.924279 4.904174 4.283301
## [2633] 5.184774 4.591065 4.748188 4.301030 3.602060 4.812913 4.477121 4.303196
## [2641] 5.176091 4.778151 4.903090 4.505150 5.000000 4.397940 4.875061 5.176091
## [2649] 4.414973 4.880814 4.414973 3.724276 4.763428 4.301030 4.462398 4.602060
## [2657] 4.954243 4.260071 4.278754 4.000000 4.845098 4.301030 4.939519 5.079181
## [2665] 3.176091 4.748188 4.740363 4.845098 4.924279 5.176091 3.147367 4.505150
## [2673] 4.301030 4.414973 4.041393 4.857332 4.318063 4.301030 4.682741 4.812913
## [2681] 5.626900 4.301030 4.819544 4.477121 4.255273 5.626186 5.000000 4.740363
## [2689] 4.602060 5.591980 4.875061 4.698970 5.626186 4.301030 5.590618 4.785330
## [2697] 4.954243 4.854002 4.505150 4.342423 4.845098 4.778151 5.301030 4.477121
## [2705] 5.000000 5.591980 4.477121 4.602060 4.414973 4.875061 4.690196 4.000000
## [2713] 5.735190 4.415007 4.088136 5.113943 4.380211 4.778151 4.531479 5.079181
## [2721] 4.255273 4.792392 5.079181 5.146128 4.792392 4.903090 5.000000 4.863323
## [2729] 4.903090 4.041393 4.477121 4.221153 4.857332 4.903090 4.544068 4.477121
## [2737] 4.778151 4.230449 4.544068 4.778151 4.518514 4.903090 4.845098 4.612784
## [2745] 4.662758 4.477121 4.602060 4.724276 5.096910 4.414973 4.380211 3.903090
## [2753] 5.029384 5.000000 4.619093 4.561101 4.778151 4.342423 4.778151 4.929419
## [2761] 4.000000 4.176091 4.698970 4.301030 4.662758 4.755875 4.544068 4.778151
## [2769] 5.000000 4.653213 4.380211 4.690196 4.698970 4.845098 5.021189 4.662758
## [2777] 5.301030 4.079181 4.230449 5.176091 4.643453 4.414973 5.301030 4.623249
## [2785] 5.096910 4.653213 4.698970 4.653213 4.681241 5.204120 4.318063 4.113943
## [2793] 4.447158 4.818859 5.176091 4.778151 5.591980 4.494155 4.531479 4.845098
## [2801] 4.748188 4.875073 4.230449 5.204120 4.968483 4.903090 4.146128 4.322219
## [2809] 5.176097 4.653213 4.812913 4.716003 4.716003 4.477121 4.971276 4.763428
## [2817] 4.361728 4.602060 4.812913 4.845098 4.934498 4.845098 4.255273 4.698970
## [2825] 4.260071 4.255273 5.176091 4.732394 4.414973 5.000000 5.082785 4.845098
## [2833] 4.903090 5.079181 5.590618 4.653213 4.903090 4.812913 4.204120 4.518514
## [2841] 5.079181 4.919078 5.033424 4.113943 4.176091 4.740363 5.204120 4.740363
## [2849] 4.579784 4.919078 4.579784 4.397940 4.301030 4.778151 4.732394 4.505150
## [2857] 5.079181 5.190332 4.995635 4.477121 4.078094 4.675778 3.903090 4.973128
## [2865] 4.397940 4.402261 4.477121 4.875061 4.477121 4.397940 4.491362 4.737193
## [2873] 4.653213 4.724276 4.041393 4.477121 4.778151 4.845098 4.903090 4.681241
## [2881] 5.641006 3.875061 4.845098 3.919078 4.397940 4.318063 4.653213 4.380211
## [2889] 4.875061 5.146128 4.579784 4.591065 4.431364 5.701323 4.260071 4.414973
## [2897] 4.301030 4.350248 4.518514 4.954243 4.540329 4.963788 4.518514 4.875061
## [2905] 4.477121 4.337140 4.272306 4.477121 4.389166 5.096910 4.681241 4.892095
## [2913] 4.301030 4.477121 4.779236 4.626217 4.919078 4.778151 4.176091 4.544068
## [2921] 4.929419 4.778151 4.380211 4.146128 4.903090 5.690330 4.698970 4.653213
## [2929] 5.000000 4.602060 4.778151 4.561101 4.740363 4.653213 4.623249 4.986772
## [2937] 4.380211 4.977724 4.336059 4.431364 4.748188 4.662758 4.278754 4.380211
## [2945] 4.643453 4.488551 4.602060 4.724276 4.929419 4.230449 4.694237 5.000000
## [2953] 4.602060 4.770852 4.176091 4.544068 4.591065 4.477121 4.602060 4.690196
## [2961] 4.414973 4.494155 4.579784 4.041393 4.176091 4.494155 4.431364 4.544068
## [2969] 4.447158 4.361728 5.077731 4.889302 4.477121 5.063694 4.778151 4.619093
## [2977] 4.079181 4.447158 4.477121 5.079181 4.255273 3.865933 4.875061 4.447158
## [2985] 4.602060 4.542003 4.875061 5.123852 4.836957 5.000000 4.886491 4.778151
## [2993] 4.698970 4.633468 4.893207 5.041393 4.602060 4.193125 4.477121 4.505150
#결측치처리
library(reshape)
data("french_fries")
#complete.cases() 함수는 결측값은 FALSE 반환
french_fries[!complete.cases(french_fries),]
## time treatment subject rep potato buttery grassy rancid painty
## 315 5 3 15 1 NA NA NA NA NA
## 455 7 2 79 1 7.3 NA 0.0 0.7 0
## 515 8 1 79 1 10.5 NA 0.0 0.5 0
## 520 8 2 16 1 4.5 NA 1.4 6.7 0
## 563 8 2 79 2 5.7 0 1.4 2.3 NA
#is.na()함수는 결측값을 TRUE 반환
y<-c(1,2,3,NA)
is.na(y)
## [1] FALSE FALSE FALSE TRUE