Introduction to RStudio
The R script is where you keep a record of your work. For Stata users this would be like the do-file, for SPSS users is like the syntax and for SAS users the SAS program. 9 DSS/OTR . R script (2) To create a new R script you can either go to File -> New -> R Script, or click on the
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Getting Started in Data Analysis using Stata
dss.princeton.eduFrom SPSS/SAS to Stata Example of a dataset in Excel From Excel to Stata (copy-and-paste, *.csv) Describe and summarize Rename Variable labels Adding value labels Creating new variables (generate) Creating new variables from other variables (generate) Recoding variables (recode) Recoding variables using egen
Multiple Imputation of Missing Data Using Stata
dss.princeton.eduimputation model should always include all the variables in the analysis model, including the dependent variable of the analytic model as well as any other variables that may provide information about the probability of missigness, or about the true value of the missing data. Theory should guide the decision as to which variables to include.
Panel Data Analysis Fixed and Random Effects using Stata ...
dss.princeton.eduPU/DSS/OTR Fixed Effects using least squares dummy variable model (LSDV). 16 _cons 8.81e+08 9.62e+08 0.92 0.363 -1.04e+09 2.80e+09
Linear Regression using Stata - Princeton University
dss.princeton.edubetween X and Y. R-square shows the amount of variance of Y explained by X. In this case expenseexplains 22% of the variance in SAT scores. Lets run the regression: regress . csat expense, robust. Adj R. 2 (not shown here) shows the same as . R. 2. but adjusted by the # of cases and # of variables. When the # of variables is small and the # of ...
Data Preparation/Descriptive Statistics
dss.princeton.eduextensions are *.txt for tab-separated data and *.prn for space-separated data. Any statistical package can read these formats. •Record form (or fixed). Data is structured by fixed blocks (for example, var1 in columns 1 to 5, var2 in column 6 to 8, etc). You will need a codebook and to write a program (either in Stata, SPSS or SAS) to read ...
Notes on Exploring Data - Princeton University
dss.princeton.eduSPSS . SAS . Stata . JMP (SAS) R . Python (Pandas) Learning curve Gradual . Pretty steep Gradual . Gradual . Pretty steep Steep . User interface Point-and-click . Programming . Programming/ point-and-click . Point-and-click . Programming Programming Data manipulation Strong . Very strong Strong .
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