How to generate a simulated data in R
Package {simstudy}
The below example uses the library(simstudy) to generate a data of 10 observation for 3 variables: nr, x1 and y1. The function defData allows us to define the name, the formula and the distribution of each variable.
Check CRAN webiste for additional documentation on the simstudy package.
```
def <- defData(varname = "nr", dist = "nonrandom", formula = 7, id = "idnum")
def <- defData(def, varname = "x1", dist = "uniform", formula = "10;20")
def <- defData(def, varname = "y1", formula = "nr + x1 * 2", variance = 8)
dt <- genData(10, def)
dt
```
Introduction to the Analysis of Survival Data in the Presence of Competing Risks
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741409/
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Sometimes when you are running a regression model with variables that have different lengths, r will prompt with the following error message...
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retinol$age [1] 64 76 38 40 72 40 65 58 35 55 66 40 57 66 66 64 62 75 68 57 56 30 34 53 60 50 62 61 65 71 43 33 74 41 [35] 56 44 37 3...