06 Jan How to Draw Basic Descriptive Plots in R with ggplot2
Depending on the complexity of your task, the easiest way is to construct the panel dataset in Excel; and then transfer the data into an econometric software like Stata...
Depending on the complexity of your task, the easiest way is to construct the panel dataset in Excel; and then transfer the data into an econometric software like Stata...
Non-linear relationships are equally important to linear ones and in this post we will showcase an another basic approach in modeling exponential relationships between a predictor variable and a response variable. ...
In this fifth post of the series, we will present briefly the necessary steps in order to produce time series forecasts....
Non-linear relationships are equally important to linear ones and in this post we will showcase a basic approach in case of exponential relationship between a predictor variable and a response variable. ...
Having discussed about the mathematical formulation and assumptions of the linear regression, its time to do some modeling using some specialised functions in R....
Summary statistics returned by the lm() object in R, highlight some important measurements used to decide the overall fitting performance of the linear model to our dataset....
In this post you will learn the steps to take in order to decide whether a time series is stationary or not by inspecting graphically and statistically the time series....
In this post, the fourth of the sereis regarding time series analysis, we will discuss about stationarity, an important concept in time series analysis....
R is one of the most powerful and versatile statistical languages. The vast selection of packages can make R even more flexible and powerful....
In this third post about time series analysis, you will learn about the two main categories in forecasting modeling of time series....