Este reporte cruza la matrícula de estudiantes reportada a fines de 2025 con su establecimiento de destino en marzo de 2026, permitiendo observar flujos de matrícula y determinar a qué tipo de sostenedor o establecimiento migraron los alumnos que no continuaron en el SLEP.

prueba

Bryan Steven D.S.

x <- 1:5 y <- 1:4 d <- st_dimensions(x = x, y = y, .raster = c("x", "y")) m <- matrix(runif(20),5,4) r1 <- st_as_stars(r = m, dimensions = d) r <- attr(d, "raster") r$affine <- c(0.2, -0.2) attr(d, "raster") = r r2 <- st_as_stars(r = m, dimensions = d) r <- attr(d, "raster") r$affine <- c(0.1, -0.3) attr(d, "raster") = r r3 = st_as_stars(r = m, dimensions = d) x <- c(1, 2, 3.5, 5, 6) y <- c(1, 1.5, 3, 3.5) d <- st_dimensions(x = x, y = y, .raster = c("x", "y")) r4 <- st_as_stars(r = m, dimensions = d) grd <- st_make_grid(cellsize = c(10,10), offset = c(-130,10), n = c(8,5), crs = st_crs('OGC:CRS84')) r5 <- st_transform(grd, "+proj=laea +lon_0=-70 +lat_0=35") par(mfrow = c(2,3), mar = c(0.1, 1, 1.1, 1)) r1 <- st_make_grid(cellsize = c(1,1), n = c(5,4), offset = c(0,0)) plot(r1, main = "regular") plot(st_geometry(st_as_sf(r2)), main = "rotated") plot(st_geometry(st_as_sf(r3)), main = "sheared") plot(st_geometry(st_as_sf(r4, as_points = FALSE)), main = "rectilinear") plot(st_geometry((r5)), main = "curvilinear")

plot(st_rasterize(nc["BIR74"], dx = 0.1), col = sf.colors(), breaks = "equal")

mencoba deploy

install.packages("stars") library(stars) par(mfrow = c(2, 2)) par(mar = rep(1, 4)) tif <- system.file("tif/L7_ETMs.tif", package = "stars") x <- read_stars(tif)[,,,1] image(x, main = "(a)") image(x[,1:10,1:10], text_values = TRUE, border = 'grey', main = "(b)") image(x, main = "(c)") set.seed(131) pts <- st_sample(st_as_sfc(st_bbox(x)), 3) plot(pts, add = TRUE, pch = 3, col = 'blue') image(x, main = "(d)") plot(st_buffer(pts, 500), add = TRUE, pch = 3, border = 'blue', col = NA, lwd = 2)