Shortcut for summarize variable with quantiles and mean

Shortcut for summarize variable with quantiles and mean

summarise_posterior(data, var, ...)

Arguments

data	tidy data frame
var	variable name (unquoted) to be summarised
...	other expressions to pass to summarise

Value

data.frame

Details

Notation: pX refers to the X% quantile

Examples

d <- data.frame("a"=sample(1:10, 50, TRUE),
                "b"=rnorm(50))

# Summarize posterior for b over grouping of a and also calcuate
# minmum of b (in addition to normal statistics returned)
d <- dplyr::group_by(d, a)
summarise_posterior(d, b, mean.b = mean(b), min=min(b))
#> # A tibble: 10 x 9
#>        a   p2.5    p25     p50     mean      p75  p97.5   mean.b    min
#>    <int>  <dbl>  <dbl>   <dbl>    <dbl>    <dbl>  <dbl>    <dbl>  <dbl>
#>  1     1 -0.706 -0.547 -0.370  -0.244   -0.00479  0.324 -0.244   -0.723
#>  2     2 -0.366 -0.253  0.168   0.252    0.673    1.01   0.252   -0.379
#>  3     3 -1.43  -0.903 -0.314  -0.562   -0.0961   0.100 -0.562   -1.49 
#>  4     4 -0.375 -0.247  0.0286  0.00631  0.252    0.367  0.00631 -0.390
#>  5     5 -0.697 -0.113  0.509   0.375    0.612    1.68   0.375   -0.739
#>  6     6 -0.921 -0.439 -0.0193  0.100    0.629    1.12   0.100   -1.02 
#>  7     7 -1.54  -1.44  -1.33   -1.33    -1.22    -1.12  -1.33    -1.55 
#>  8     8 -0.674 -0.633 -0.315  -0.161   -0.00122  0.740 -0.161   -0.679
#>  9     9 -1.22  -1.01  -0.786  -0.786   -0.557   -0.351 -0.786   -1.24 
#> 10    10 -0.941 -0.716 -0.141  -0.0437   0.271    1.30  -0.0437  -0.983