R

Blogs related to R programming

Stationarity in Time Series Data Using R

Stationarity is a primary principle in time series analysis. A time series is considered to be stationary if its statistical aspects, such as mean, variance, and autocorrelation, remain constant through time. To elucidate, the time series does not reflect trends, seasonality, or other regular patterns that alternate with time. Stationarity is essential in time series …

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Filling gaps in Time series and Panel data using R

Time series and panel are import data sets in certain fields of study like economics, finance, engineering etc. However, these data sets contain missing values, which can lead to biased or inaccurate results. Handling missing data is a crucial aspect of data analysis, particularly in time series and panel data settings where observations may be …

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