If you click on the Run button, Rstudio runs the current line of code where your cursor is located. Write your scripts while saving your project files. Click “Save” button and name your file something like “Data Import.R.” Figure 4.1 shows a recommended workflow for beginning your script. We re-cycle and re-use our codes over and over, so it is vital to add information about what a chunk of code does. Comments starting with “#” are ignored by R when running, but they are helpful for humans, including the future self, to understand the code. Start your R script by adding comments on background information. Rstudio will ask you to change it the first time you hit “Save” button. By default, the script file is called Untitled1.R. Once you have a new project created, the first step is to start a new script file by clicking the File + button or go to File->New file and choose R script file. 9.6 Effect of platform type to priciple componentsĤ.1.2 Create a script file and comment (!).9.3 Correlation among numeric variables.9.2 Visualization of categorical variables.8.3 Analyzing the relationship among variables.7.3 Interactive plots made easy with Plotly.6.5 Statistical models are easy interpretations and verifications are not!.5.5 Associations between multiple columns?.5.4 Associations between a categorical and a numeric variables?.5.3 Associations between categorical variables?.5.2 Possible correlation between two numeric columns?.5.1 Begin your analysis by examining each column separately.4.6 Data transformation using the dplyr.4.3 General procedure to read data into R:.4.2 Reading files directly using read.table.4.1.6 Close a project when you are done.4.1.3 Copy data files to the new directory.4.1.2 Create a script file and comment (!).2.8 Classification by predicting the odds of binary outcomes.2.6 Hierarchical clustering and heat map.2.4 The ggplot2 package is intuitive and powerful.1.8 Testing the difference among multiple groups (ANOVA).1.7 Testing the differences between two groups.1.6 The relationship between two numerical variables.1.3 Data frames contain rows and columns: the iris flower dataset.1 Step into R programming–the iris flower dataset.
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