When we want to use some code several times we can define our own function (auser-defined function). We do that the same way we create a vector (or any otherdata structure) because R is a so calledfunctional programming languageand functions are so calledfirst-class citizens(i.e. on th...
This dataset has 32 rows and 11 columns. There are 0 Missing Values. As in the above code,glue()is the primary function that takes astringwith r expressions enclosed in curly braces{}whose resulting value would get concatenated with the given string. Creation of the templatised string is w...
# Plot boxplot using ggplot function # diamonds dataset used here is inbuilt in the R Language plot<-ggplot(diamonds,aes(x=factor(cut),y=carat))+ geom_boxplot()+ theme(legend.position="none") # print boxplot plot 输出: 创建分组箱线图 要将此基本箱线图转换为分组箱线图,我们使用 ggplot...
One of the most interesting aspects of R programming is about changing the shape of the data in multiple steps to get a desired shape. The functions used to do this are called melt() and cast().We consider the dataset called ships present in the library called "MASS"....
R Programming lets you learn this art by offering a set of inbuilt functions and libraries to build visualizations and present data. Before the technical implementations of the visualization, let’s see first how to select the right chart type. ...
The workbench also helps you save to and retrieve backtests from the inbuilt library. A file called backtests.db is created inside html folder by the HTML Workbench and all your saved backtests are stored in it. Do not forget to back up this file....
Troubleshooting Handle various types of data structures in R Write control statements in R Write custom functions, call & pass arguments to the functions Use in-built loop functions in R Use inbuilt R functions for strong manipulations & regular expressions Complex Real-Life Data Manipulation, ...
the functionesquissertakes the dataframe which we want to visualize as the argument and if nothing is provided, it would consider the dataframes in the current R environment space as options. If there’s no dataframes in the current R environment space, then inbuilt datasets likediamondare prov...
Step-wise approach to data analysis. Contribute to aayush26/Data-Analysis development by creating an account on GitHub.
Now that we understand the concept of PCA. We can implement the same in R programming language. Theprincomp()function in R calculates the principal components of any data. We will also compare our results by calculating eigenvectors and eigenvalues separately. Let’s use theIRIS dataset. ...