In R, one requirement for matrices is that every data element stored inside it be of the same type (all character, all numeric, and so on). This allows you to perform arithmetic operations with matrices, if, for example, you have two that are both numeric. Let's use matrix() to ...
studyingdatavisualizationandgraphics.You’lllearnhowtobuildstatisticalandadvancedplotsusingthepowerfulggplot2library.Inadditiontothis,you’lldiscoverdatamanagementconceptssuchasfactoring,pivoting,aggregating,merging,anddealingwithmissingvalues.Bytheendofthisbook,you’llhavecompletedanentiredatascienceprojectofyourownfor...
R is widely used in statistical analysis of data analytics applications, as well as in education and research. R is suited for data analysis in general and not just for statistical tasks. This book is for those truly committed to R, rather than those merely curious. If you are looking for...
studyingdatavisualizationandgraphics.You’lllearnhowtobuildstatisticalandadvancedplotsusingthepowerfulggplot2library.Inadditiontothis,you’lldiscoverdatamanagementconceptssuchasfactoring,pivoting,aggregating,merging,anddealingwithmissingvalues.Bytheendofthisbook,you’llhavecompletedanentiredatascienceprojectofyourownfor...
Using stringr Package to Manipulate a Vector of Names Combining Strings Using Base R Methods Activity: Demonstrating Splitting and Combining Data Merging and Joining Data Demonstrating Merges and Joins in R Activity: Merging and Joining Data Summary Solutions Chapter 1: Introduction to R Activity: Ins...
This track is programmed in R. Learners will become familiar with the basics of R programming as well as the popular R package Shiny. Which jobs will benefit from this Track? This track is designed to help users become proficient with Shiny, a popular R package. This skill is beneficial in...
2 Reshaping Data with tidyr Transform almost any dataset into a tidy format to make analysis easier. Project bonus Analyze the Popularity of Programming Languages Analyze the popularity of programming languages over time based on Stack Overflow data. Course 4 Modeling with Data in the Tidyverse Disc...
nonlinear programmingKuhn‐Tucker conditionscomputational implicationsconstraint gradient geometrysaddle point problemsStructure of the Nonlinear Programming ProblemThe Kuhn–Tucker Approach to Nonlinear Programming ProblemsThe Kuhn-Tucker Constraint QualificationSaddle Point ProblemsSummary...
Value of the variable can be changed any number of times during the program execution. Syntax: <data type>; or <data type>=<value>; Example: int a; int b=10; String s=”name”; String st; There are two types of variables based on the data types used to declare the variable:Prim...
Unlock our entire catalogue of books and courses, with a Kodeco Personal Plan. Unlock now Sometimes, you might want a variable or constant to be a result of a computation. This computation might require different data and resources and doing this directly in a variable might not be possible...