## code to prepare `climaemet_9434_climatogram` dataset goes here
library(climaemet)
data_raw <- aemet_normal_clim(9434, verbose = TRUE)
data <- data_raw[c("mes", "p_mes_md", "tm_max_md", "tm_min_md", "ta_min_min")]
data$mes <- as.numeric(data$mes)
data <- data[data$mes < 13, ]
data <- tidyr::pivot_longer(data, 2:5)
data <-
tidyr::pivot_wider(data, names_from = "mes", values_from = "value")
data <-
dplyr::arrange(data, match(
"name",
c("p_mes_md", "tm_max_md", "tm_min_md", "ta_min_min")
))
# Need a data frame with row names
data <- as.data.frame(data)
rownames(data) <- data$name
data <- data[, colnames(data) != "name"]
climaemet_9434_climatogram <- data
usethis::use_data(climaemet_9434_climatogram, overwrite = TRUE)
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