Titlebook: An Introduction to R for Quantitative Economics; Graphing, Simulating Vikram Dayal Book 2015 The Author(s) 2015 Applied Econometrics.Quanti

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善辯

Die Wiedergeburt des PolitischenWe simulate simple deterministic difference equations with loops. We then simulate white noise and a random walk. Finally, we simulate fish growth and harvest.

certain

grovel

Getting Data into R,We see how to get data into R with three examples. We like to convert the data into a csv (comma-separated values) file and then get it into RStudio. We see how we can have a quick look at the data in RStudio. We will work with these three datasets in later chapters.

CULP

初學(xué)者

Sedative

Matrices,We combine matrix algebra computations with those of statistics. We first use R for some simple vector operations relating to variances and covariances. Then, we look at some simple matrix operations. Finally, we use matrix operations in R for regression.

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Statistical Simulation,We use R to generate synthetic data from different probability distributions. We then generate data and use simple regression and a t-test on this data. Finally, we simulate logit regression.

過剩

,Anscombe’s Quartet: Graphs Can Reveal,We look at Anscombe’s, (Am Stat 27(1):17–21, .) data which is one of the datasets that come with the R software. We compute different linear regressions of Anscombe’s four sets of data—they give us the same results. When we look at the scatterplots corresponding to Anscombe’s four sets of data we see that they are very different.

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