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# variables, asignación, vector y secuenciación | |
x <- c(seq(1,10)) #[1] 1 2 3 4 5 6 7 8 9 10 | |
y <- c(seq(0.1, 1, 0.1)) #[1] 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 | |
#acceso (índice empieza en 1, no en cero) | |
#también sirve para editar y agregar valores | |
y[2] #[1] 0.2 | |
#acceso múltiple y rangos | |
y[c(2,4)] #[1] 0.2 0.4 | |
y[2:4] #[1] 0.2 0.3 0.4 | |
#nombres de elementos | |
names(x) <- c("elA", "elB", "elC", "elD", "elE", "elF", "elG", "elH", "elI", "elJ") | |
#elA elB elC elD elE elF elG elH elI elJ | |
# 1 2 3 4 5 6 7 8 9 10 | |
#dibujar gráficas | |
barplot(x) #vector + nombres, barras | |
plot(x, y) #plano bidimensional | |
#operaciones matemáticas con vectores | |
x * 3 #3 6 9 12 15 18 21 24 27 30 | |
x - y #0.9 1.8 2.7 3.6 4.5 5.4 6.3 7.2 8.1 9.0 | |
x < y #FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE | |
plot(sin(x), sqrt(y)) #gráfica seno y raíz | |
#pasar por alto un NA | |
a <- c(1, 3, NA, 7, 9) | |
sum(a, na.rm = TRUE) #[1] 20 | |
#matrices | |
a <- 1:12 | |
matrix(a, 3, 4) #data, filas, columnas | |
# [,1] [,2] [,3] [,4] | |
# [1,] 1 4 7 10 | |
# [2,] 2 5 8 11 | |
# [3,] 3 6 9 12 | |
#transformar la variable del vector 'a' en matriz | |
dim(a) <- c(3, 4) | |
#acceso, edición, etc [fila, columna] | |
a[2,3] #8 | |
#omitiendo valores. rangos | |
a[, 3:4] | |
# [,1] [,2] | |
# [1,] 7 10 | |
# [2,] 8 11 | |
# [3,] 9 12 | |
#graficar matrices | |
contour(volcano) #mapa cenital | |
persp(volcano, expand=0.2) #3d | |
image(volcano) #mapa de calor | |
#media, mediana, desviación estándar | |
barplot(x) | |
abline(h = mean(x)) #dibujar la media | |
abline(h = median(x)) #dibujar la media | |
abline(h = sd(x) + mean(x)) #dibujar la desviación estándar + la media | |
abline(h = mean(x) - sd(x)) #dibujar la media - la desviación estándar | |
#factores | |
chests <- c('gold', 'silver', 'gems', 'gold', 'gems') | |
types <- factor(chests) | |
#Levels: gems gold silver | |
as.integer(types) | |
#[1] 2 3 1 2 1 | |
levels(types) | |
#[1] "gems" "gold" "silver" | |
weights <- c(300, 200, 100, 250, 150) | |
prices <- c(9000, 5000, 12000, 7500, 18000) | |
plot(weights, prices, pch=as.integer(types)) | |
legend("topright", levels(types), pch=1:length(levels(types))) | |
#data frames | |
treasure <- data.frame(weights, prices, types) | |
# weights prices types | |
# 1 300 9000 gold | |
# 2 200 5000 silver | |
# 3 100 12000 gems | |
# 4 250 7500 gold | |
# 5 150 18000 gems | |
#acceso $ = [[]] | |
treasure$prices | |
#cargar dataframes | |
targets <- read.csv("targets.csv") | |
infantry <- read.table("infantry.txt", sep="\t", header=TRUE) | |
#unir dataframes | |
merge(x = targets, y = infantry) | |
#test | |
cor.test(treasure$prices, treasure$weights) | |
#ecuación lineal | |
line <- lm(treasure$prices ~ treasure$weights) | |
abline(line) |
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