# load required
library(dplyr)
library(tidyr)
# load data (from rda file)
load("~/Projects/azmpdata/data/Derived_Annual_Sections.rda")
# convert data to long format
Derived_Annual_Sections <- Derived_Annual_Sections %>%
tidyr::gather(variable, value, 3:9)
# calculate climatology
df_climatology <- Derived_Annual_Sections %>%
dplyr::filter(year >= 1999 & year <= 2015) %>%
dplyr::group_by(section, variable) %>%
dplyr::summarise(mean=mean(value, na.rm=T), sd=sd(value, na.rm=T)) %>%
dplyr::ungroup()
# calculate anomalies
Derived_Annual_Sections_Anomalies <- dplyr::left_join(Derived_Annual_Sections,
df_climatology,
by = c("section", "variable")) %>%
dplyr::mutate(value = (value - mean)/sd) %>%
dplyr::select(section, variable, year, value)
# convert data to wide format
Derived_Annual_Sections_Anomalies <- Derived_Annual_Sections_Anomalies %>%
tidyr::spread(variable, value)
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