Shortcut for summarize variable with quantiles and mean

Usage

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 × 9
#>        a    p2.5     p25     p50    mean    p75  p97.5  mean.b     min
#>    <int>   <dbl>   <dbl>   <dbl>   <dbl>  <dbl>  <dbl>   <dbl>   <dbl>
#>  1     1 -0.474  -0.290  -0.152  -0.0151 0.0731 0.794  -0.0151 -0.481 
#>  2     2 -0.795  -0.355   0.0104 -0.155  0.0447 0.277  -0.155  -0.841 
#>  3     3 -1.27   -0.430   0.0833 -0.103  0.231  0.821  -0.103  -1.37  
#>  4     4 -0.536  -0.272   0.0213  0.0943 0.424  0.786   0.0943 -0.565 
#>  5     5 -0.0587  0.288   0.315   0.537  0.809  1.32    0.537  -0.0972
#>  6     6 -1.25   -0.512   0.0671  0.278  1.08   2.06    0.278  -1.32  
#>  7     7  0.0475  0.421   1.15    1.06   1.54   2.26    1.06    0.0448
#>  8     8  0.0164  0.0164  0.0164  0.0164 0.0164 0.0164  0.0164  0.0164
#>  9     9  0.479   0.479   0.479   0.479  0.479  0.479   0.479   0.479 
#> 10    10 -1.16   -0.756  -0.205  -0.193  0.0819 1.01   -0.193  -1.20