comparison ext/scatter_desc.R @ 0:205974c9568c tip

Initial commit. Predictions not included for lack of space.

+library(tidyverse)
+
+feats_mode <- 'original'
+feats_lev <- 'f'
+
+feats_path <- paste0('~/Repositories/research/datasets/features/gtzan/',
+                     feats_mode, '/scattering/')
+
+feats <- read.csv(file = paste0(feats_path, feats_lev, '.csv'))
+
+feats_desc <- 
+  feats %>%
+  group_by(ex_id, gt) %>%
+  summarise_all(funs(mean, median, var, min, max, 
+                     skew = psych::skew, 
+                     kurt = psych::kurtosi)) %>%
+  ungroup()
+
+dif <- function(x) x - lag(x)
+
+feats_dif <-
+  feats %>%
+  group_by(ex_id, gt) %>%
+  mutate_all(funs(dif)) %>%
+  na.omit() %>%
+  ungroup()
+names(feats_dif) <- c(names(feats_dif)[1:2],
+                  paste0(names(feats_dif)[3:length(names(feats_dif))],
+                         "_dif"))
+
+feats_dif2 <-
+  feats_dif %>%
+  group_by(ex_id, gt) %>%
+  mutate_all(funs(dif)) %>%
+  na.omit() %>%
+  ungroup()
+names(feats_dif2) <- c(names(feats_dif2)[1:2],
+                  paste0(names(feats_dif2)[3:length(names(feats_dif2))],
+                         "2"))
+
+feats_desc <- 
+  cbind(feats_desc,
+        feats_dif %>%
+          group_by(ex_id, gt) %>%
+          summarise_all(funs(mean, var)) %>%
+          ungroup() %>%
+          select(-ex_id, -gt),
+        feats_dif2 %>%
+          group_by(ex_id, gt) %>%
+          summarise_all(funs(mean, var)) %>%
+          ungroup() %>%
+          select(-ex_id, -gt)
+  )
+
+
+file_name <- paste0(feats_path, feats_lev, '_desc.csv')
+write.csv(x = feats_desc, file = file_name, row.names = F)
+