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summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

Desafio 1 Operaciones :

var1= 7
var2= 4
var4=90

var = (var1+var2)/2
var
## [1] 5.5
var = sqrt(var2)
var
## [1] 2
var = cos(0)
var
## [1] 1
var = 2**3
var
## [1] 8
var = sqrt(25)+5-63*9
var
## [1] -557
var = cos(2)/2
var
## [1] -0.2080734
var = (pi*2)+25
var
## [1] 31.28319
var= (var4*100/20)*tan(10)
var
## [1] 291.7624
var = log1p(10)
var
## [1] 2.397895
var = sqrt(300)*log1p(100)/cos(30)
var
## [1] 518.2203

Desafio 2 Operaciones listas :

datos=matrix(c(6.2,3.4,5.1,7.2,5.3,50.3,33.2,45.3,60.3,47.8),nrow=5,ncol=2)
datos
##      [,1] [,2]
## [1,]  6.2 50.3
## [2,]  3.4 33.2
## [3,]  5.1 45.3
## [4,]  7.2 60.3
## [5,]  5.3 47.8
colnames(datos)=c("peso(Kg)","talla(cm)")
rownames(datos)=c("SLOBODAN","ADOLF","KIM","FIDEL","AUGUSTO")
datos
##          peso(Kg) talla(cm)
## SLOBODAN      6.2      50.3
## ADOLF         3.4      33.2
## KIM           5.1      45.3
## FIDEL         7.2      60.3
## AUGUSTO       5.3      47.8
var = (datos[1][1])+(datos[2][1])+(datos[3][1])+(datos[4][1])+(datos[5][1])
var
## [1] 27.2
var = datos*datos
var
##          peso(Kg) talla(cm)
## SLOBODAN    38.44   2530.09
## ADOLF       11.56   1102.24
## KIM         26.01   2052.09
## FIDEL       51.84   3636.09
## AUGUSTO     28.09   2284.84
mat=matrix(c(7,5,6,3),nrow=2,ncol=2)
mat
##      [,1] [,2]
## [1,]    7    6
## [2,]    5    3
det(mat)
## [1] -9
mat%*%(mat)
##      [,1] [,2]
## [1,]   79   60
## [2,]   50   39
solve(mat)
##            [,1]       [,2]
## [1,] -0.3333333  0.6666667
## [2,]  0.5555556 -0.7777778

Desafio 3 Cachipun 1) Piedra 2) Papel 3) Tijera

source("sumar_num.R")

res_sum=sumar_num(1)
## [1] "Perdiste"

Desafio 4 Dataset :

data("ability.cov")
help('ability.cov')
## starting httpd help server ... done
summary("ability.cov")
##    Length     Class      Mode 
##         1 character character

Descripcion: Corresponde a la realizacion de 6 test a 112 personas, test general , imagen, bloques, laberinto, lectura y vocaulario

Fuente :Bartholomew, D. J. (1987). Latent Variable Analysis and Factor Analysis. Griffin.

Bartholomew, D. J. and Knott, M. (1990). Latent Variable Analysis and Factor Analysis. Second Edition, Arnold.

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.