Subset parameter of estimate object

Methods for extracting or sorting parameter estimates

Usage

# S3 method for class 'estimate'
subset(x, keep, ...)

# S3 method for class 'estimate'
rev(x)

# S3 method for class 'estimate'
tail(x, n = 1, ...)

# S3 method for class 'estimate'
head(x, n = 1, ...)

# S3 method for class 'estimate'
sort(x, decreasing = FALSE, by = c("labels", "values"), ...)

# S3 method for class 'estimate'
x[i, ...]

# S3 method for class 'estimate'
with(data, expr, ...)

Arguments

x

estimate object

keep, i

subset (integer or character vector) of elements to extract

...

arguments passed to utils::tail, utils::head, base::sort, base::subset

n

an integer vector of length up to dim(x) (or 1, for non-dimensioned objects). A logical is silently coerced to integer. Values specify the indices to be selected in the corresponding dimension (or along the length) of the object. A positive value of n[i] includes the first/last n[i] indices in that dimension, while a negative value excludes the last/first abs(n[i]), including all remaining indices. NA or non-specified values (when length(n) < length(dim(x))) select all indices in that dimension. Must contain at least one non-missing value.

decreasing

logical. Should the sort be increasing or decreasing? Not available for partial sorting.

by

sorted by "values" or "labels" of parameters

data

data to use for constructing an environment. For the default with method this may be an environment, a list, a data frame, or an integer as in sys.call. For within, it can be a list or a data frame.

expr

expression to evaluate; particularly for within() often a “compound” expression, i.e., of the form

   {
     a <- somefun()
     b <- otherfun()
     .....
     rm(unused1, temp)
   }

See also

utils::tail base::rev utils::head base::sort base::subset

Examples

e <- estimate(coef=4:1, IC=matrix(0,nrow=2,ncol=4), labels=letters[1:4])
subset(e, c(1,4))
#>   Estimate Std.Err 2.5% 97.5% P-value
#> a        4       0    4     4       0
#> d        1       0    1     1       0
sort(e, by="values")
#>   Estimate Std.Err 2.5% 97.5% P-value
#> d        1       0    1     1       0
#> c        2       0    2     2       0
#> b        3       0    3     3       0
#> a        4       0    4     4       0
head(e, 2)
#>   Estimate Std.Err 2.5% 97.5% P-value
#> a        4       0    4     4       0
#> b        3       0    3     3       0
rev(e)
#>   Estimate Std.Err 2.5% 97.5% P-value
#> d        1       0    1     1       0
#> c        2       0    2     2       0
#> b        3       0    3     3       0
#> a        4       0    4     4       0