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Using reticulate to test pysal against spdep
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| library(reticulate) | |
| use_condaenv("pysal2") | |
| pysal <- import("pysal") | |
| np <- import("numpy") | |
| pth <- pysal$examples$get_path("stl_hom.txt") | |
| f <- pysal$open(pth) | |
| col <- f$by_col("HR8893") | |
| y <- np$array(col) | |
| w <- pysal$open(pysal$examples$get_path("stl.gal"))$read() | |
| mi <- pysal$Moran(y, w, two_tailed=FALSE) | |
| df <- read.csv(pth, skip=1) | |
| library(spdep) | |
| nb <- read.gal(pysal$examples$get_path("stl.gal")) | |
| miR <- moran.test(df$HR8893, nb2listw(nb, style="W")) | |
| all.equal(mi$I, unname(miR$estimate[1])) | |
| all.equal(mi$EI, unname(miR$estimate[2])) | |
| all.equal(mi$VI_rand, unname(miR$estimate[3]), scale=1) | |
| all.equal(mi$z_rand, unname(miR$statistic), scale=1) | |
| miN <- moran.test(df$HR8893, nb2listw(nb, style="W"), randomisation=FALSE) | |
| all.equal(mi$VI_norm, unname(miN$estimate[3]), scale=1) | |
| all.equal(mi$z_norm, unname(miN$statistic), scale=1) |
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