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Análisis de Fuga de Estudiantes 2025 - 2026
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
prueba
SIM_Tugas_A_M0725088
Bryan Steven D.S.
Ports
PortCullingPt2
Plot tipos de raster
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()
plot(st_rasterize(nc["BIR74"], dx = 0.1), col = sf.colors(), breaks = "equal")
coba rmd
mencoba deploy
Plot packages(stars)
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)
HTML packages(sf, tydiverse, mapview)
install.packages("mapview")
library(mapview) |> suppressPackageStartupMessages()
mapviewOptions(fgb = FALSE)
nc.32119 |> mapview(zcol = "BIR74", legend = TRUE, col.regions = sf.colors)