مشخصات دوره :

نام دوره : R Statistics Essential Training

گروه اصلی : دوره های آموزشی Lynda

مدت زمان دوره :  5 ساعت و 59 دقیقه

 قیمت دوره : رایگان

حداکثر زمان استفاده از دوره : نامحدود

سرفصل مطالب دوره :

00 - Introduction

01 - Welcome

02 - Using the exercise files

03 - Using the challenges

01 - Getting Started

01 - Installing R on your computer

02 - Using RStudio

03 - Taking a first look at the interface

04 - Installing and managing packages

05 - Using built-in datasets in R

06 - Entering data manually

07 - Importing data

08 - Converting tabular data to row data

09 - Working with color in R

10 - Exploring color with Colorbrewer

11 - Challenge Creating color palettes in R

12 - Solution Creating color palettes in R

02 - Charts for One Variable

01 - Creating bar charts for categorical variables

02 - Creating pie charts for categorical variables

03 - Creating histograms for quantitative variables

04 - Creating box plots for quantitative variables

05 - Overlaying plots

06 - Saving images

07 - Challenge Layering plots

08 - Solution Layering plots

03 - Statistics for One Variable

01 - Calculating frequencies

02 - Calculating descriptives

03 - Using a single proportion Hypothesis test and confidence interval

04 - Using a single mean Hypothesis test and confidence interval

05 - Using a single categorical variable One sample chi-square test

06 - Examining robust statistics for univariate analyses

07 - Challenge Calculating descriptive statistics

08 - Solution Calculating descriptive statistics

04 - Modifying Data

01 - Examining outliers

02 - Transforming variables

03 - Computing composite variables

04 - Coding missing data

05 - Challenge Transforming skewed data to pull in outliers

06 - Solution Transforming skewed data to pull in outliers

05 - Working with the Data File

01 - Selecting cases

02 - Analyzing by subgroup

03 - Merging files

04 - Challenge Analyzing guinea pig data subgroups

05 - Solution Analyzing guinea pig data subgroups

06 - Charts for Associations

01 - Creating bar charts of group means

02 - Creating grouped box plots

03 - Creating scatter plots

04 - Challenge Creating your own grouped box plots

05 - Solution Creating your own grouped box plots

07 - Statistics for Associations

01 - Calculating correlation

02 - Computing a bivariate regression

03 - Comparing means with the t-test

04 - Comparing paired means Paired t-test

05 - Comparing means with a one-factor analysis of variance (ANOVA)

06 - Comparing proportions

07 - Creating cross tabs for categorical variables

08 - Computing robust statistics for bivariate associations

09 - Challenge Comparing proportions across several different groups

10 - Solution Comparing proportions across several different groups

08 - Charts for Three or More Variables

01 - Creating clustered bar charts for means

02 - Creating scatter plots for grouped data

03 - Creating scatter plot matrices

04 - Creating 3D scatter plots

05 - Challenge Creating your own scatter plot matrix

06 - Solution Creating your own scatter plot matrix

09 - Statistics for Three or More Variables

01 - Computing a multiple regression

02 - Comparing means with a two-factor ANOVA

03 - Conducting a cluster analysis

04 - Conducting a principal components factor analysis

05 - Challenge Creating a cluster analysis of states in the US

06 - Solution Creating a cluster analysis of states in the US

10 - Conclusion

01 - Next steps

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