Identificación del Estudiante

Estudiante: Justo Fuentes (6820995)

URL en RPubs: https://rpubs.com/justofuentes/Actividad_del_1er_50

Carga el Dataset acero.csv

acero <- read.csv("acero.csv",dec = ",")
acero

Examina la estructura del dataset acero

# Muestra la estructura del data frame
str(acero)
## 'data.frame':    117 obs. of  20 variables:
##  $ consumo    : num  135.3 84.1 131.6 90.5 120 ...
##  $ pr.tbc     : int  6840 443 7270 5031 9365 9281 3223 10490 7394 8654 ...
##  $ pr.cc      : int  830 903 572 694 1054 1003 1118 1077 1204 851 ...
##  $ pr.ca      : int  0 58 36 122 157 172 0 179 167 0 ...
##  $ pr.galv1   : int  579 611 982 896 403 605 643 737 580 828 ...
##  $ pr.galv2   : int  1401 1636 1963 1568 1480 1525 1424 1333 934 1326 ...
##  $ pr.pint    : int  0 717 243 0 0 473 732 93 247 607 ...
##  $ linea      : chr  "A" "A" "A" "A" ...
##  $ hora       : chr  "1º" "2º" "3º" "4º" ...
##  $ temperatura: chr  "Alta" "Alta" "Baja" "Baja" ...
##  $ averias    : chr  "Si" "No" "No" "No" ...
##  $ naverias   : int  1 0 0 0 0 1 0 0 0 3 ...
##  $ sistema    : chr  "OFF" "OFF" "OFF" "ON" ...
##  $ ProdTotal  : int  11266 7251 11066 8311 12459 13059 8555 18253 11697 13194 ...
##  $ NOx        : num  0.49 0.0725 1.49 1.715 0.465 ...
##  $ CO         : num  3.54 2.9 5.01 2.16 4.84 ...
##  $ COV        : num  0.545 0.425 0.69 0.36 0.662 ...
##  $ SO2        : num  0.038 0.047 0.062 0.066 0.086 0.056 0.07 0.103 0.058 0.066 ...
##  $ CO2        : num  101.5 63.6 98.8 70.2 88.5 ...
##  $ N2O        : num  6.35 2.23 5.99 3.66 6.06 6.15 7.75 9.09 8.69 5 ...

Mostrando algunas variables numéricas y categóricas

# Mostrando la variable consumo y la variable de producción total
acero$consumo
##   [1] 135.31  84.08 131.62  90.46 120.04 153.68  99.09 226.38 140.07 161.22
##  [11] 135.92  83.84  57.84 102.66  66.18  61.16  99.37  82.80  92.29  95.57
##  [21] 149.24 131.95  87.34 123.58 143.07 104.00 130.08 141.55  33.18  83.63
##  [31] 147.88  87.29  83.18  76.41  66.71 197.65 124.09  99.36  54.03  90.13
##  [41] 160.49 128.62 154.28 125.91 115.92 120.04  66.39 104.76 193.44 191.32
##  [51]  63.81 135.10 167.76  49.77  19.07  38.39 163.58 197.77 141.82  39.72
##  [61]  17.50  39.38 201.88 224.51 186.18 163.53 182.48 175.06 161.52 127.07
##  [71] 245.74 193.15 137.47 165.17 131.50 220.96 179.38 143.82  85.79 165.36
##  [81] 194.92 191.02 156.03 234.39 221.26  68.30 173.10 290.72 250.73 190.64
##  [91] 180.44 200.75 126.06 165.56  97.94 156.41 136.05 146.18 163.15 185.71
## [101] 126.67 110.45 131.95 149.88 187.36 246.54 222.88 191.01 195.61 160.87
## [111] 183.26 184.70 113.75 105.06 168.88 195.61 213.23
acero$ProdTotal
##   [1] 11266  7251 11066  8311 12459 13059  8555 18253 11697 13194 11279  7661
##  [13]  9540 11425  6647  5574  9247  9023 11525 12434 12361 10964  7867 10326
##  [25] 11860  9103 10785 11749  3384  7277 12195  8186  8362  7413  6033 16048
##  [37] 10355  8943  4994  8424 13198 10729 12723 10591  9927 10081  6455  8882
##  [49] 15746 15562  5785 11282 13718  5667  2300  3870 13421 16098 11734  3850
##  [61]  2187  3879 16387 18117 15159 13466 14931 14311 13225 10656 19783 15738
##  [73] 11525 13528 11968 17776 14648 12017  7482 13531 15817 15574 12852 18892
##  [85] 17803  6075 14146 23202 20111 15540 14747 16279 10501 13594  8349 12889
##  [97] 11324 12073 13588 15137 10615 10166 11026 12407 15188 19798 17984 15511
## [109] 15916 13176 14908 14998 11322  8939 13845 15906 17247

Mostrando los calculos manuales de las probabilidades

Calculos manuales

Calculos Manuales de Probabilidades
Calculos Manuales de Probabilidades

**Dataset Soils del paquete carData

Carga del dataset Soils y muestra de sus contenidos

# install.packages("carData")   # una sola vez
library(carData)
data(Soils)
str(Soils)
## 'data.frame':    48 obs. of  14 variables:
##  $ Group  : Factor w/ 12 levels "1","2","3","4",..: 1 1 1 1 2 2 2 2 3 3 ...
##  $ Contour: Factor w/ 3 levels "Depression","Slope",..: 3 3 3 3 3 3 3 3 3 3 ...
##  $ Depth  : Factor w/ 4 levels "0-10","10-30",..: 1 1 1 1 2 2 2 2 3 3 ...
##  $ Gp     : Factor w/ 12 levels "D0","D1","D3",..: 9 9 9 9 10 10 10 10 11 11 ...
##  $ Block  : Factor w/ 4 levels "1","2","3","4": 1 2 3 4 1 2 3 4 1 2 ...
##  $ pH     : num  5.4 5.65 5.14 5.14 5.14 5.1 4.7 4.46 4.37 4.39 ...
##  $ N      : num  0.188 0.165 0.26 0.169 0.164 0.094 0.1 0.112 0.112 0.058 ...
##  $ Dens   : num  0.92 1.04 0.95 1.1 1.12 1.22 1.52 1.47 1.07 1.54 ...
##  $ P      : int  215 208 300 248 174 129 117 170 121 115 ...
##  $ Ca     : num  16.4 12.2 13 11.9 14.2 ...
##  $ Mg     : num  7.65 5.15 5.68 7.88 8.12 ...
##  $ K      : num  0.72 0.71 0.68 1.09 0.7 0.81 0.39 0.7 0.74 0.77 ...
##  $ Na     : num  1.14 0.94 0.6 1.01 2.17 2.67 3.32 3.76 5.74 5.85 ...
##  $ Conduc : num  1.09 1.35 1.41 1.64 1.85 3.18 4.16 5.14 5.73 6.45 ...