Description Usage Arguments Details See Also Examples
These functions are intended to be used with sim_gen
and not
interactively. They are designed to draw random numbers according to the
setting of grouping variables.
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mean |
the mean passed to the random number generator, for example
|
sd |
the standard deviation passed to the random number generator, for example rnorm. |
name |
name of variable as character in which random numbers are stored. |
rho |
the correlation used to create the variance covariance matrix for
a SAR process - see |
type |
either "rook" or "queen". See |
groupVar |
a variable name identifying groups. |
timeVar |
a variable name identifying repeated measurements. |
generator |
a function producing random numbers. |
... |
arguments passed to |
groupVars |
names of variables as character. Identify groups within random numbers are constant. |
gen_norm
is used to draw random numbers from a normal
distribution where all generated numbers are independent.
gen_v_norm
and gen_v_sar
will create an area-level random
component. In the case of v_norm
, the error component will be from a
normal distribution and i.i.d. from an area-level perspective (all units in
an area will have the same value, all areas are independent). v_sar will also
be from a normal distribution, but the errors are correlated. The variance
covariance matrix is constructed for a SAR(1) - spatial/simultanous
autoregressive process. mvrnorm is used for the random number
generation. gen_v_norm
and gen_v_sar
expect a variable
idD
in the data identifying the areas.
gen_generic
can be used if your world is not normal. You can specify
'any' function as generator, like rnorm
. Arguments in
...
are matched by name or position. The first argument of
generator
is expected to be the number of random numbers (not
necessarily named n
) and need not to be specified.
sim_gen
, sim_gen_x
,
sim_gen_e
, sim_gen_ec
, sim_gen_v
,
sim_gen_vc
, cell2nb
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