Publications by Roel Ceballos
Basic R Training Module Day 2 Session 1
Learning Objectives: At the end of the session, the participants are expected to: understand the basic concepts of presenting data learn how to use the R base functions in generating appropriate plots to effectively present data learn how to use the functions from the package ggplot2 for effective data presentation Introduction After data coll...
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Basic R Training Module Day 2 Session 2
Learning Objectives: At the end of the session, the participants are expected to: understand the basic concepts and use of descriptive statistics learn how to use the basic functions in R for generating descriptive measures for central tendency, variability, and frequency tables. Introduction “Statistical Thinking will one day be as necessar...
6613 sym R (5558 sym/72 pcs)
Day 3 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}. Make sure to submit the file on or before the deadline. In a study to estimate the proportion of residents in a certain city and its suburbs who favor the construction of a nuclear power plant, it is found that 63...
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Stat 312 Machine Problem 1
Instruction: For all the coding tasks below, create a single R Script and save it with the file name format {MacProb1_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 th...
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Module 3 Lesson 8 :Basic Statistical Inference in R
Learning Objectives: At the end of the session, the participants are expected to: understand the basic concepts of statistical inference learn how to use the R functions in performing basic hypothesis testing Introduction Statistical inference is the process through which inferences about a population are made based on certain statistics calcu...
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Module 3 Lesson 7 :Descriptive Statistics in R
Learning Objectives: At the end of the session, the participants are expected to: understand the basic concepts and use of descriptive statistics learn how to use the basic functions in R for generating descriptive measures for central tendency, variability, and frequency tables. Introduction “Statistical Thinking will one day be as necessar...
6613 sym R (5596 sym/72 pcs)
Module 4 Lesson 9 :Regression Analysis in R
Learning Objectives: At the end of the session, the participants are expected to: understand the basic concepts of simple and multiple linear regression learn how to use the R functions in regression analysis Simple Linear Regression What is a linear regression model? Regression Analysis is a statistical modeling tool that is used to explain a...
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Stat 312 Module 3 Lesson 9 : R Programming Structures
Introduction R is a block-structured language in the manner of the ALGOL-descendant family, such as C, C++, Python, Perl, and so on. As you’ve seen, blocks are delineated by braces, though braces are optional if the block consists of just a single statement. Statements are separated by newline characters or, optionally, by semicolons. Control...
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Stat 312 Module 2 Lesson 7 : Data Frame
Introduction On an intuitive level, a data frame is like a matrix, with a two-dimensional rows-andcolumns structure. However, it differs from a matrix in that each column may have a different mode. For instance, one column may consist of numbers, and another column might have character strings. In this sense, just as lists are the heterogeneous ...
9263 sym R (2660 sym/59 pcs)
Stat 312 Module 2 Lesson 8 : Factors and Tables
Introduction Factors form the basis for many of R’s powerful operations, including many of those performed on tabular data. The motivation for factors comes from the notion of nominal, or categorical, variables in statistics. These values are nonnumerical in nature, corresponding to categories such as Democrat, Republican, and Unaffiliated, al...
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