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R Statistics Essential Training

R Statistics Essential Training

Sku:YH-311322

Availability: In stock

R is the language of big data—a statistical programming language that helps describe, mine, and test relationships between large amounts of data. The trainer will use R to model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.
Topics include:

  • Installing R on your computer
  • Using the built-in datasets
  • Importing data
  • Creating bar and pie charts for categorical variables
  • Creating histograms and box plots for quantitative variables
  • Calculating frequencies and descriptives
  • Transforming variables
  • Coding missing data
  • Analyzing by subgroups
  • Creating charts for associations
  • Calculating correlations
  • Creating charts and statistics for three or more variables
  • Creating crosstabs for categorical variables


SkillsFuture Credit Applicable for Individual

WDA Training Grant Applicable for Company

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$298.00
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$298.00

Module 1. Getting Started

  • What is R
  • Install R and RStudio
  • Explore RStudio Interface
  • Variables

Module 2. Data Types

  • Numbers 
  • Text
  • Vector
  • Matrix
  • Array 
  • Data Frame
  • Factor 
  • List

Module 3. Packages & Data Sets

  • Packages
  • Data Sets

Module 4. File Input/Output

  • Read data from file
  • Read data from web 
  • Write data to file

Module 5. Charts

  • Scatter Plot
  • Boxplot
  • Bar chart
  • Pie chart
  • Histogram

Module 6. Control Structures

  • Conditional
  • Loop
  • Break & Next
  • Operators

Module 7: Function

  • Function Syntax
  • Function Example
  • Function With Default Arguments

Module 8. Statistical Application of R

  • Basic Statistics 
  • Correlation
  • Linear Regression 
  • Multiple Regression
  • 2 Sample T-Test
  • 1 Sample T-Test
  • ANOVA
  • Clustering

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good!!! Review by jon
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Perhaps the material can be better fastened rather than just stapled together. It kind of fell apart when flipping. But it's still manageable (Posted on 9/27/2017)

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