## Fake Data for a Time-Series Cross-Section

### Description

This is a toy (i.e. "fake") data set created by the `fabricatr`

package.
There are 100 observations for 25 hypothetical countries. The outcome `y`

is a linear function of a baseline for each hypothetical country, plus a yearly
growth trend as well as varying growth errors for each country. `x1`

is
supposed to have a linear effect of .5 on `y`

, all things considered.
`x2`

is supposed to have a linear effect of 1 on `y`

for each unit
change in `x2`

, all things considered.

### Usage

```
fakeTSCS
```

### Format

A data frame with 2500 observations on the following 8 variables.

`year`

a numeric vector for the year

`country`

a character vector for the country

`y`

a numeric vector for the outcome.

`x1`

a continuous variable

`x2`

a binary variable

`base`

a numeric vector for the baseline starting point for each country

`growth_units`

a numeric vector for the growth units for each country

`growth_error`

a numeric vector for the growth errors for each country

### Details

`x1`

is generated by a normal distribution with a mean of 5 and a standard
deviation of 2. `x2`

is drawn from a Bernoulli distribution with a
probability of .5 of observing a 1.