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Compute Js for top-three PAR hours for each day #38

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Oct 5, 2020
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Compute Js for top-three PAR hours for each day #38

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9 changes: 9 additions & 0 deletions R/sapflow-Rs.Rmd
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Expand Up @@ -260,6 +260,15 @@ sapflow_js %>%
complete(Tree, Timestamp = seq(min(Timestamp), max(Timestamp), by = "hour")) %>%
log_obs("combined") -> combined

# For each tree and date, grab the three rows with maximum PAR, compute the mean Js
# for those rows, and then merge the result back into `combined`.
combined %>%
group_by(Tree, Date) %>%
slice_max(PAR, n = 3) %>%
summarise(Js_maxPAR = mean(Js_avg, na.rm = TRUE)) %>%
right_join(combined, by = c("Tree", "Date")) ->
combined

# At this point, `combined` holds rs, js, and weather data rounded to the nearest hour
# Here the data are joined and include any NAs or NaNs in any column

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