From b293b26b0817710789f5e16152ab591457bc2e6e Mon Sep 17 00:00:00 2001 From: kyle-messier Date: Thu, 28 Mar 2024 11:27:06 -0400 Subject: [PATCH] dynamic branching of pest explore --- code/03_Pesticide_Analysis/Target_Helpers.R | 31 ++++++++++++++------ example_working_target_viz.png | Bin 0 -> 86978 bytes 2 files changed, 22 insertions(+), 9 deletions(-) create mode 100644 example_working_target_viz.png diff --git a/code/03_Pesticide_Analysis/Target_Helpers.R b/code/03_Pesticide_Analysis/Target_Helpers.R index a8d71b2..1766747 100644 --- a/code/03_Pesticide_Analysis/Target_Helpers.R +++ b/code/03_Pesticide_Analysis/Target_Helpers.R @@ -209,25 +209,38 @@ pivot_covariates <- function(data) { #' fit_lasso #' -#' @param data +#' @param assume [[1]] is the outcome sf, [[2]] is the covariates sf #' #' @return #' @export #' #' @examples -fit_lasso <- function(data) { +fit_lasso <- function(data_outcome, data_covariates) { + + + # Put together the final dataframe + + data_outcome_to_join <- data_outcome |> + st_drop_geometry() |> + select(c("cncntrt","id")) |> + as.data.frame() |> + mutate(id = row_number()) + - # Subset the outcome and covariates from the data - pest_data <- data |> - select(cncntrt, 40:ncol(data) -1) + data_covariates_to_join <- data_covariates |> + st_drop_geometry() |> + as.data.frame() |> + mutate(id = row_number()) - pest_data <- st_drop_geometry(pest_data) + data_fit <- left_join(data_outcome_to_join, data_covariates_to_join, by = "id") |> + select(-"id") + # Fit using the linear_model function in Parsnip - lasso <- linear_reg() %>% - set_engine("glmnet") %>% + lasso <- linear_reg(penalty = 1) %>% + set_engine("glmnet", family = "mgaussian") %>% set_mode("regression") %>% - fit(log10(cncntrt) ~ ., data = pest_data) + fit(y_outcomes ~ ., data = pest_data) return(lasso) diff --git a/example_working_target_viz.png b/example_working_target_viz.png new file mode 100644 index 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