Regresión lineal

Felipe Barros
11/10/2017

First Slide

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  • Bullet 1
  • Bullet 2
  • Bullet 3

Slide With Code

# Vamso trabajar con datos de cambio climatico
cc <- read.csv("./BASES_ Curso R/climate_change.csv")

Slide With Plot

str(cc)

'data.frame':   308 obs. of  11 variables:
 $ Year    : int  1983 1983 1983 1983 1983 1983 1983 1983 1984 1984 ...
 $ Month   : int  5 6 7 8 9 10 11 12 1 2 ...
 $ MEI     : num  2.556 2.167 1.741 1.13 0.428 ...
 $ CO2     : num  346 346 344 342 340 ...
 $ CH4     : num  1639 1634 1633 1631 1648 ...
 $ N2O     : num  304 304 304 304 304 ...
 $ CFC.11  : num  191 192 193 194 194 ...
 $ CFC.12  : num  350 352 354 356 357 ...
 $ TSI     : num  1366 1366 1366 1366 1366 ...
 $ Aerosols: num  0.0863 0.0794 0.0731 0.0673 0.0619 0.0569 0.0524 0.0486 0.0451 0.0416 ...
 $ Temp    : num  0.109 0.118 0.137 0.176 0.149 0.093 0.232 0.078 0.089 0.013 ...

Slide With Plot2

head(cc)

  Year Month   MEI    CO2     CH4     N2O  CFC.11  CFC.12      TSI
1 1983     5 2.556 345.96 1638.59 303.677 191.324 350.113 1366.102
2 1983     6 2.167 345.52 1633.71 303.746 192.057 351.848 1366.121
3 1983     7 1.741 344.15 1633.22 303.795 192.818 353.725 1366.285
4 1983     8 1.130 342.25 1631.35 303.839 193.602 355.633 1366.420
5 1983     9 0.428 340.17 1648.40 303.901 194.392 357.465 1366.234
6 1983    10 0.002 340.30 1663.79 303.970 195.171 359.174 1366.059
  Aerosols  Temp
1   0.0863 0.109
2   0.0794 0.118
3   0.0731 0.137
4   0.0673 0.176
5   0.0619 0.149
6   0.0569 0.093

Slide With Plot3

#Analisis exploratorio
boxplot(cc$CO2~cc$Year)

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Slide With Plot4

#Analisis exploratorio
boxplot(cc$Temp~cc$Year)

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