Publications by Fabio Veronesi
Assessing the Accuracy of our models (R Squared, Adjusted R Squared, RMSE, MAE, AIC)
Assessing the accuracy of our modelThere are several ways to check the accuracy of our models, some are printed directly in R within the summary output, others are just as easy to calculate with specific functions.R-SquaredThis is probably the most commonly used statistics and allows us to understand the percentage of variance in the target varia...
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Generalized Additive Models and Mixed-Effects in Agriculture
IntroductionIn the previous post I explored the use of linear model in the forms most commonly used in agricultural research.Clearly, when we are talking about linear models we are implicitly assuming that all relations between the dependent variable y and the predictors x are linear. In fact, in a linear model we could specify different shapes f...
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Power analysis and sample size calculation for Agriculture
Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic results. Sometimes researchers tend to underestimate this aspect and they are just interested in obtaining significant p-values. The problem with this is that a significance level of 0.05 does not necessarily mean th...
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Experiment designs for Agriculture
This post is more for personal use than anything else. It is just a collection of code and functions to produce some of the most used experimental designs in agriculture and animal science. I will not go into details about these designs. If you want to know more about what to use in which situation you can find material at the following links:De...
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Street Crime UK – Shiny App
IntroductionThis is a shiny app to visualize heat maps of Street Crimes across Britain from 2010-12 to 2018-01 and test their spatial pattern.The code for both ui.R and server.R is available from my GitHub at: https://github.com/fveronesi/StreetCrimeUK_ShinyUsagePlease be aware that this apps downloads data from my personal Dropbox once it start...
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Data Visualization Website with Shiny
My second Shiny app is dedicated to data visualization.Here users can simply upload any csv or txt file and create several plots:Histograms (with option for faceting)Barchart (with error bars, and option for color with dodging and faceting)BoxPlots (with option for faceting)Scatterplots (with options for color, size and faceting)TimeS...
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Spreadsheet Data Manipulation in R
Today I decided to create a new repository on GitHub where I am sharing code to do spreadsheet data manipulation in R.The first version of the repository and R script is available here: SpreadsheetManipulation_inRAs an example I am using a csv freely available from the IRS, the US Internal Revenue Service.https://www.irs.gov/statisti...
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Geocoding function
This is a very simple function to perform geocoding using the Google Maps API: getGeoCode <- function(gcStr, key) { library("RJSONIO") #Load Library gcStr <- gsub(' ','%20',gcStr) #Encode URL Parameters #Open Connection connectStr <- paste0('https://maps.googleapis.com/maps/api/geocode/json?address=',gcStr, "&key=",key) co...
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Weather Forecast from MET Office
This is another function I wrote to access the MET office API and obtain a 5-day ahead weather forecast:METDataDownload <- function(stationID, product, key){ library("RJSONIO") #Load Library library("plyr") library("dplyr") library("lubridate") connectStr <- paste0("http://datapoint.metoffice.gov.uk/public/data/val/wxfcs/all...
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Shiny App to access NOAA data
Now that the US Government shutdown is over, it is time to download NOAA weather daily summaries in bulk and store them somewhere safe so that at the next shutdown we do not need to worry.Below is the code to download data for a series of years:NOAA_BulkDownload <- function(Year, Dir){ URL <- paste0("ftp://ftp.ncdc.noaa.gov/pub/data...
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