R basic data management contains recode and rename variables, sorting , sorting data, handling missing values, using data values. There are also reshaping data, merging data , and subset of data frame in this category.
We provide effective and economically affordable online training courses for R and Python, click here for more details and course registration ! Similar as with() function in R, transform() function provides a way to work on data frame with simplified code inside its block. transform() is mostly used to modify Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! Tabular data objects in R can be easily transposed with t() function. In the following example, we create a matrix of 2 rows and 3 columns, then transpose it, Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! with() function in R provides an alternative way of carrying out several operations bypassing inputting object name repeatedly. For example, we have a data frame ‘grade’ on hand, and Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! R provides two functions which make combine different datasets easy and feasible. rbind() is used when two datasets have same column variables and data observations are combined and expanded, Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! Doing statistics using R is perfect for many data analysts. Dealing with various statistical distributions and generating random numbers from some widely used distributions are mandatory for data science. Read more…
rdatacode.com provides online training course for R and Python, click here for more info ! When a data frame is applied in data analysis in R, very often some specific rows or observations may be selected. The simplest way to select observations is filling row indices in square brackets. Conditional Read more…
We provide online training for R and Python, click here for more info ! When a data frame is created in R, sometimes the data frame contains dozens of variables and only a subset of them will be used in data analysis. Thus, selecting these variables and saving them into Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! In this post we show several methods of dropping unwanted variables of a data frame in R. Say we have a data frame ‘grade’ in the current R working Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! Data frame is the most widely used object type in R data analysis, because it allows storing different modes of data in a tabular form. The rows of a Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! When we have created a data frame in R , for example by reading a csv file from working directory, the first row of the file will be used Read more…