library(nabatr) # Enter your NABat username here username = 'NABat_Username' token = get_nabat_gql_token(username) token # Note: if you leave run token = get_nabat_gql_token(), # it will prompt you for a username and then a password
# Refresh Token token = get_refresh_token(token) # Get all project types dataframe poject_types_df = get_all_project_types(token) poject_types_df
# Store projets for each variable (summer hibernaculum, winter maternity, roost/emergence count, ## mobile acoustic, stationary acoustic) colony_hib_projs = sort(unique(subset(poject_types_df, poject_types_df$survey_type_id == 9)$project_id)) colony_mat_projs = sort(unique(subset(poject_types_df, poject_types_df$survey_type_id == 10)$project_id)) roost_count_projs = sort(unique(subset(poject_types_df, poject_types_df$survey_type_id == 12)$project_id)) mobile_acoustic_projs = sort(unique(subset(poject_types_df, poject_types_df$survey_type_id == 8)$project_id)) stationary_acoustic_projs = sort(unique(subset(poject_types_df, poject_types_df$survey_type_id == 7)$project_id)) # Print out the results print (paste0('Number of winter hibernaculum colony count projects: ', length(colony_hib_projs))) print (colony_hib_projs) print (paste0('Number of summmer maternity colony count projects: ', length(colony_mat_projs))) print (colony_mat_projs) print (paste0('Number of emergence count projects: ', length(roost_count_projs))) print (roost_count_projs) print (paste0('Number of mobile acoustic projects: ', length(mobile_acoustic_projs))) print (mobile_acoustic_projs) print (paste0('Number of stationary acoustic projects: ', length(stationary_acoustic_projs))) print (stationary_acoustic_projs)
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