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 training courses for R and Python, click here for more details and course registration ! Data frame is the most widely used data object in R programming, due to the fact that a data frame can store different type of data contents (numeric, character, 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 will introduce and provide several useful and important functions in R. Most of them are fairly basic, and frequently used in data analysis with R 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 and often easier way to deal with data management and analysis. Say we have a data frame ‘grade’, and want to calculate Read more…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration ! In R programming, variable type can be numeric or character. Categorical variables are usually called factors. R provides a series of functions working with specific type test and type Read more…
In R programming, the value ‘NA’ is used to represent a missing value. Say we try to read a csv file from working directory and generate a data frame. There several places in the csv file have value ‘999’, which means missing value due to various circumstances during data survey and collection.
In data analysis it is often needed to set new values to a variable based on one or several conditions, and these kinds of operations are called recode variables. The most frequently applied recoding variables in R may be the setting some values to missing values (NA), and recoding a continuous to the values of a categorical variable.
R has rich resources of functions dealing with date values in data analysis. In this post, we introduce and show how to use as.Date() function for working with data values in R. as.Date() accepts a string input with specific format and transform the value to a date object in R.