Ejercicio 1 Virtudes Gomariz Peñalver 15 de marzo de 2017

Ejercicio 01 Considera el conjunto de datos iris y échale un vistazo iris ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ##

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39

Sepal.Length Sepal.Width Petal.Length Petal.Width 5.1 3.5 1.4 0.2 4.9 3.0 1.4 0.2 4.7 3.2 1.3 0.2 4.6 3.1 1.5 0.2 5.0 3.6 1.4 0.2 5.4 3.9 1.7 0.4 4.6 3.4 1.4 0.3 5.0 3.4 1.5 0.2 4.4 2.9 1.4 0.2 4.9 3.1 1.5 0.1 5.4 3.7 1.5 0.2 4.8 3.4 1.6 0.2 4.8 3.0 1.4 0.1 4.3 3.0 1.1 0.1 5.8 4.0 1.2 0.2 5.7 4.4 1.5 0.4 5.4 3.9 1.3 0.4 5.1 3.5 1.4 0.3 5.7 3.8 1.7 0.3 5.1 3.8 1.5 0.3 5.4 3.4 1.7 0.2 5.1 3.7 1.5 0.4 4.6 3.6 1.0 0.2 5.1 3.3 1.7 0.5 4.8 3.4 1.9 0.2 5.0 3.0 1.6 0.2 5.0 3.4 1.6 0.4 5.2 3.5 1.5 0.2 5.2 3.4 1.4 0.2 4.7 3.2 1.6 0.2 4.8 3.1 1.6 0.2 5.4 3.4 1.5 0.4 5.2 4.1 1.5 0.1 5.5 4.2 1.4 0.2 4.9 3.1 1.5 0.2 5.0 3.2 1.2 0.2 5.5 3.5 1.3 0.2 4.9 3.6 1.4 0.1 4.4 3.0 1.3 0.2 1

Species setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa

## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ##

40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93

5.1 5.0 4.5 4.4 5.0 5.1 4.8 5.1 4.6 5.3 5.0 7.0 6.4 6.9 5.5 6.5 5.7 6.3 4.9 6.6 5.2 5.0 5.9 6.0 6.1 5.6 6.7 5.6 5.8 6.2 5.6 5.9 6.1 6.3 6.1 6.4 6.6 6.8 6.7 6.0 5.7 5.5 5.5 5.8 6.0 5.4 6.0 6.7 6.3 5.6 5.5 5.5 6.1 5.8

3.4 3.5 2.3 3.2 3.5 3.8 3.0 3.8 3.2 3.7 3.3 3.2 3.2 3.1 2.3 2.8 2.8 3.3 2.4 2.9 2.7 2.0 3.0 2.2 2.9 2.9 3.1 3.0 2.7 2.2 2.5 3.2 2.8 2.5 2.8 2.9 3.0 2.8 3.0 2.9 2.6 2.4 2.4 2.7 2.7 3.0 3.4 3.1 2.3 3.0 2.5 2.6 3.0 2.6

1.5 1.3 1.3 1.3 1.6 1.9 1.4 1.6 1.4 1.5 1.4 4.7 4.5 4.9 4.0 4.6 4.5 4.7 3.3 4.6 3.9 3.5 4.2 4.0 4.7 3.6 4.4 4.5 4.1 4.5 3.9 4.8 4.0 4.9 4.7 4.3 4.4 4.8 5.0 4.5 3.5 3.8 3.7 3.9 5.1 4.5 4.5 4.7 4.4 4.1 4.0 4.4 4.6 4.0

0.2 0.3 0.3 0.2 0.6 0.4 0.3 0.2 0.2 0.2 0.2 1.4 1.5 1.5 1.3 1.5 1.3 1.6 1.0 1.3 1.4 1.0 1.5 1.0 1.4 1.3 1.4 1.5 1.0 1.5 1.1 1.8 1.3 1.5 1.2 1.3 1.4 1.4 1.7 1.5 1.0 1.1 1.0 1.2 1.6 1.5 1.6 1.5 1.3 1.3 1.3 1.2 1.4 1.2

2

setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa setosa versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor versicolor

## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ##

94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147

5.0 5.6 5.7 5.7 6.2 5.1 5.7 6.3 5.8 7.1 6.3 6.5 7.6 4.9 7.3 6.7 7.2 6.5 6.4 6.8 5.7 5.8 6.4 6.5 7.7 7.7 6.0 6.9 5.6 7.7 6.3 6.7 7.2 6.2 6.1 6.4 7.2 7.4 7.9 6.4 6.3 6.1 7.7 6.3 6.4 6.0 6.9 6.7 6.9 5.8 6.8 6.7 6.7 6.3

2.3 2.7 3.0 2.9 2.9 2.5 2.8 3.3 2.7 3.0 2.9 3.0 3.0 2.5 2.9 2.5 3.6 3.2 2.7 3.0 2.5 2.8 3.2 3.0 3.8 2.6 2.2 3.2 2.8 2.8 2.7 3.3 3.2 2.8 3.0 2.8 3.0 2.8 3.8 2.8 2.8 2.6 3.0 3.4 3.1 3.0 3.1 3.1 3.1 2.7 3.2 3.3 3.0 2.5

3.3 4.2 4.2 4.2 4.3 3.0 4.1 6.0 5.1 5.9 5.6 5.8 6.6 4.5 6.3 5.8 6.1 5.1 5.3 5.5 5.0 5.1 5.3 5.5 6.7 6.9 5.0 5.7 4.9 6.7 4.9 5.7 6.0 4.8 4.9 5.6 5.8 6.1 6.4 5.6 5.1 5.6 6.1 5.6 5.5 4.8 5.4 5.6 5.1 5.1 5.9 5.7 5.2 5.0

1.0 1.3 1.2 1.3 1.3 1.1 1.3 2.5 1.9 2.1 1.8 2.2 2.1 1.7 1.8 1.8 2.5 2.0 1.9 2.1 2.0 2.4 2.3 1.8 2.2 2.3 1.5 2.3 2.0 2.0 1.8 2.1 1.8 1.8 1.8 2.1 1.6 1.9 2.0 2.2 1.5 1.4 2.3 2.4 1.8 1.8 2.1 2.4 2.3 1.9 2.3 2.5 2.3 1.9

3

versicolor versicolor versicolor versicolor versicolor versicolor versicolor virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica virginica

## 148 ## 149 ## 150

6.5 6.2 5.9

3.0 3.4 3.0

5.2 5.4 5.1

2.0 2.3 1.8

virginica virginica virginica

¿Qué dimensiones tiene? ¿De qué tipo son sus variables? dim(iris) ## [1] 150

5

summary(iris[, 1:4]) ## ## ## ## ## ## ##

Sepal.Length Min. :4.300 1st Qu.:5.100 Median :5.800 Mean :5.843 3rd Qu.:6.400 Max. :7.900

Sepal.Width Min. :2.000 1st Qu.:2.800 Median :3.000 Mean :3.057 3rd Qu.:3.300 Max. :4.400

Petal.Length Min. :1.000 1st Qu.:1.600 Median :4.350 Mean :3.758 3rd Qu.:5.100 Max. :6.900

Petal.Width Min. :0.100 1st Qu.:0.300 Median :1.300 Mean :1.199 3rd Qu.:1.800 Max. :2.500

summary(iris[, "Petal.Width"]) ## ##

Min. 1st Qu. 0.100 0.300

Median 1.300

Mean 3rd Qu. 1.199 1.800

Max. 2.500

Dibuja un gráfico de dispersión en el que enfrentes las variables Sepal.Length y Sepal.Width plot(iris$Sepal.Length, iris$sepal.Width)

4

7.5 6.5 5.5 4.5

iris$Sepal.Length

0

50

100 Index

Modifica el gráfico anterior de forma que: 4.1) los colores los puntos sean de diferente color en función de la especie. plot(iris$Sepal.Length, iris$sepal.Width, col = iris$Species)

5

150

7.5 6.5

iris$Sepal.Length

5.5 4.5 0

50

100 Index

plot(iris$Sepal.Length, iris$sepal.Width, col = as.numeric(iris$Species) + 4)

6

150

7.5 6.5 5.5 4.5

iris$Sepal.Length

0

50

100 Index

4.2) utiliza un símbolo diferente para cada especie. plot(iris$Sepal.Length, iris$sepal.Width, pch = as.numeric (iris$Species))

7

150

7.5 6.5

iris$Sepal.Length

5.5 4.5 0

50

100 Index

plot(iris$Sepal.Length, iris$sepal.Width, pch = "?")

8

150

7.5 6.5 5.5 4.5

iris$Sepal.Length

?

??

? ??

?? ?

?

?

? ??

??? ?? ? ? ?? ? ? ? ?? ? ? ? ? ? ? ? ? ? ? ? ? ? ?? ?? ?? ? ? ? ? ?? ? ? ? ? ?? ? ?? ? ? ? ? ? ? ? ?? ? ? ? ? ???? ? ? ? ???? ?? ?? ? ? ?? ? ?? ? ? ?? ?? ? ? ? ? ? ? ? ? ? ?????? ? ?? ??? ? ? ? ? ? ??? ?? ? ?? ? ? ?? ? ? ? ? ? ? ? ?? 0

50

100 Index

4.3) se cumplan los dos puntos anteriores plot( iris$Sepal.Length, iris$sepal.Width, col = iris$Species, pch = as.numeric (iris$Species) )

9

150

7.5 6.5 5.5 4.5

iris$Sepal.Length

0

50

100

150

Index Deja traza del tipo de sesión sessionInfo() ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ## ##

R version 3.3.2 (2016-10-31) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 7 x64 (build 7601) Service Pack 1 locale: [1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252 [3] LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C [5] LC_TIME=Spanish_Spain.1252 attached base packages: [1] stats graphics grDevices utils

datasets

loaded via a namespace (and not attached): [1] backports_1.0.5 magrittr_1.5 rprojroot_1.2 [5] htmltools_0.3.5 yaml_2.1.14 Rcpp_0.12.9 [9] rmarkdown_1.3 knitr_1.15.1 stringr_1.2.0 [13] evaluate_0.10

10

methods

base

tools_3.3.2 stringi_1.1.2 digest_0.6.12