Publications by Roel Ceballos
Notes of tibble Package
Contents This is an R Markdown file.. Click the hyperlink for help. In this article, we’ll present the tibble R package, developed by Hadley Wickham. The tibble R package provides easy to use functions for creating tibbles, which is a modern rethinking of data frames. This is a compilation of notes containing examples on the use of tibble packa...
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Notes on tidyr package
This is an R Markdown file.. Click the hyperlink for help. This is a compilation of notes containing examples on the use of tidyr package in R. To begin with, let us load the package library(tidyr) What is a tidy data set? A data set is called tidy when: each column represents a variable each row represent an observation Reshaping data using ti...
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ggplot2
Introduction ggplot is a powerful and a flexible R package, implemented by Hadley Wickham, for producing elegant graphics. The concept behind ggplot2 divides plot into three different fundamental parts: Plot = data + Aesthetics + Geometry. The principal components of every plot can be defined as follow: data is a data frame Aesthetics is used to...
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Survival Analysis
Basics of Survival Analysis Survival analysis corresponds to a set of statistical approaches used to investigate the time it takes for an event of interest to occur. Survival analysis is used in a variety of field such as: Cancer studies for patients survival time analyses, Sociology for “event-history analysis”, and in engineering for “fa...
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R Training Day 1 Workshop Guide
Instruction: For all the coding tasks below, create a single R Script and save it with the file name format {familyname_firstname.R} PART I The data below is taken from the Regional Situationer Report of DOH Region XI as of September 8, 2020. 1 Using the data in Table 1 above, do the following: Create a variable in R that contains the total n...
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Module 1 Lesson 1 Introduction to R
Lesson Objectives At the end of the lesson, the students are expected to: install R and RStudio to their personal computers, customize the appearance and set up of their RStudio, perform basic calculations in R, and create and assign values to variables in R. What is R and Why use R? R is a scripting language. Used widely for statistical data ...
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Module 2 Lesson 4 Data Import and Export in R
Lesson Objectives At the end of the lesson, the students are expected to: Learn how to import data to R from different sources. Learn how to export data from R to different sources. Importing Data into R In this section, you will learn how to prepare your data to avoid errors during the importation of a file into R. Preparing your Datasets 1.)...
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Module 1 Lesson 2 - Basic Data Types in R
Lesson Objectives At the end of the lesson, the students are expected to: understand the concepts and use of the different data types in R. enumerate the different data types and distinguish them from each other. create and use vectors, matrices, data frames, factors and lists in performing basic R operations. Basic Data Types Basic data types ...
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Module 2 Lesson 5 Data Reshaping and Manipulation in R
Lesson Objectives At the end of the lesson, the students are expected to: Learn how prepare data for analysis, and convert or reshape data using different functions Learn how to manipulate data in R Reshaping Data using tidyr Here, you’ll learn modern conventions for preparing and reshaping data in order to facilitate analyses in R. The proce...
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Basic R Training Module Day 1 Session 1
Session Objectives At the end of the session, the participants are expected to be able to install R and RStudio in their respective computers. explore the programming basics of R. understand the different data types in R and how to perform basic operations on these data types. learn how to install R packages get acquainted with the built-in data...
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