addResVar | R Documentation |
Add residual variability based on parameter estimates
addResVar(
data,
path.ext,
prop = NULL,
add = NULL,
log = FALSE,
par.type = "SIGMA",
trunc0 = TRUE,
scale.par,
subset,
seed,
col.ipred = "IPRED",
col.ipredvar = "IPREDVAR",
as.fun
)
data |
A data set containing indiviudual predictions. Often a result of NMsim. |
path.ext |
Path to the ext file to take the parameter estimates from. |
prop |
Parameter number of parameter holding variance of the proportional error component. If ERR(1) is used for proportional error, use prop=1. Can also refer to a theta number. |
add |
Parameter number of parameter holding variance of the additive error component. If ERR(1) is used for additive error, use add=1. Can also refer to a theta number. |
log |
Should the error be added on log scale? This is used to obtain an exponential error distribution. |
par.type |
Use "sigma" if variances are estimated with the SIGMA matrix. Use "theta" if THETA parameters are used. See 'scale.par' too. |
trunc0 |
If log=FALSE, truncate simulated values at 0? If trunc0, returned predictions can be negative. |
scale.par |
Denotes if parmeter represents a variance or a standard deviation. Allowed values and default value depends on 'par.type'.
|
subset |
A character string with an expression denoting a subset in which to add the residual error. Example: subset="DVID=='A'" |
seed |
A number to pass to set.seed() before simulating. Default is to generate a seed and report it in the console. Use seed=FALSE to avoid setting the seed (if you prefer doing it otherwise). |
col.ipred |
The name of the column containing individual predictions. |
col.ipredvar |
The name of the column to be created by addResVar to contain the simulated observations (individual predictions plus residual error). |
as.fun |
The default is to return data as a data.frame. Pass a function (say 'tibble::as_tibble') in as.fun to convert to something else. If data.tables are wanted, use as.fun="data.table". The default can be configured using NMdataConf. |
An updated data.frame
## Not run:
## based on SIGMA
simres.var <- addResVar(data=simres,
path.ext = "path/to/model.ext",
prop = 1,
add = 2,
par.type = "SIGMA",
log = FALSE)
## If implemented using THETAs
simres.var <- addResVar(data=simres,
path.ext = "path/to/model.ext",
prop = 8, ## point to elements in THETA
add = 9, ## point to elements in THETA
par.type = "THETA",
log = FALSE)
## End(Not run)
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