Publications by Anastasia Bernat
Kruskal-Wallis_Noise Analysis
Read the data data = read_csv("data/allnoise_flight_data-Winter2020.csv") ## Parsed with column specification: ## cols( ## .default = col_double(), ## filename = col_character(), ## trial_type = col_character(), ## chamber = col_character(), ## channel_letter = col_character(), ## test_date = col_date(format = ""), ## time_start = c...
2494 sym R (5437 sym/19 pcs) 3 img
Modeling - Delta Response
Multinomial Flight Modeling Flight Trials Winter 2020 were conducted from 2/17/2020 - 3/10/2020. Soapberry bugs were flight tested twice (T1 vs. T2) for multiple hours in the flight mill and observed from 8 AM to (5-8 PM) each day. I used multicategorical, nominal modeling (multinom) to analyze how sex and host plant as well as changes in mass a...
11585 sym R (28540 sym/170 pcs) 16 img 14 tbl
Modeling - Predictions
#knitr::purl("flight_predictions.Rmd", output = "flight_predictions.R") # convert Rmd to R script Using delta_yes_no.Rmd models to predict Fall delta flight response. Clean the data source_path = "~/Desktop/git_repositories/SBB-dispersal/avbernat/Rsrc/" script_names = c("center_flight_data.R", # Re-centers data "clean_flight_da...
3274 sym R (10184 sym/48 pcs) 5 img
Spatial - Wing Data
#knitr::purl("wing_spatial.Rmd", output = "wing_spatial.R") # convert Rmd to R script Barrier Model Sourcing Scripts and Cleaning the Data source_path = "~/Desktop/git_repositories/SBB-dispersal/avbernat/Rsrc/" script_names = c("compare_models.R", "regression_output.R", "remove_torn_wings.R", ...
1889 sym R (34416 sym/176 pcs) 44 img
Animated Plotly Graph
Using plotly to create interactive plots.(e.g. https://plotly.com/r/legend/) d = read.csv("data/animate_eggs-perc.csv") no_fly_color = 'rgb(224, 59, 40)' T1_fly_color = 'rgb(69, 84, 255)' both_fly_color = 'black' ax_label = 24 ax_num = 25 fig <- plot_ly(d, x = ~mass_per[1:6], y = ~No[1:6], type = 'scatter', mode = 'lines', legendgroup ...
87 sym R (2977 sym/3 pcs)
Time Series - Wing Data
Introduction When to use a time series vs. a linear regression? If you have continuous target variable, then it is a regression problem. For instance, in flight trials we have the flight distance to predict, which is continuous. Hence this becomes a regression problem. About time series, when the datapoints are time dependent, then it becomes a ...
10506 sym R (30111 sym/179 pcs) 88 img
Morph PCA
Winter 2020 Flight Trials Flight Trials Winter 2020 were conducted from 2/17/2020 - 3/10/2020. Soapberry bugs were flight tested twice for multiple hours in the flight mill and observed from 8 AM to (5-8 PM) each day. Size-adjusted CPCA (notes) PCAs are good to… Isolate changes in allometry: “Morphological relationships change with overall ...
2324 sym R (11837 sym/20 pcs) 25 img
Modeling - Speed
Winter 2020 Flight Trials: Speed Flight Modeling Flight Trials Winter 2020 Dataset was conducted from 2/17/2020 - 3/10/2020. Soapberry bugs were flight tested twice for multiple hours in the flight mill and observed from 8 AM to (5-8 PM) each day. Used multivariate (glm) and mixed effect modeling (glmer) to analyze the flight results. Problems N...
2043 sym R (41337 sym/157 pcs) 37 img
Modeling - Delta Speed
Problems Noticing qqplots of all models are not normal. Might need to retransform the distance_speed data either by standardizing it or performing another transformation. Delta Speed source_path = "~/Desktop/git_repositories/SBB-dispersal/avbernat_working_on/Rsrc/" script_names = c("center_flight_data.R", # Re-centers data "c...
760 sym R (14365 sym/78 pcs) 5 img
Modeling - Delta Distance
Delta Distance Modeling All Bugs Problems Noticing qqplots of all models are not normal and the best fit model is the null model for all. Might need to retransform the distance_diff data either by standardizing it or performing another transformation. (NOTE: only did analyses for bugs that flew and had a distance > 0.) Summary (For all bugs)...
1334 sym R (10375 sym/64 pcs) 5 img