See vignette("translate-function") and vignette("translate-verb") for details of overall translation technology. Key differences for this backend are:

  • Many stringr functions

  • lubridate date-time extraction functions

  • More standard statistical summaries

Use simulate_postgres() with lazy_frame() to see simulated SQL without converting to live access database.

simulate_postgres()

Examples

library(dplyr, warn.conflicts = FALSE) lf <- lazy_frame(a = TRUE, b = 1, c = 2, d = "z", con = simulate_postgres()) lf %>% summarise(x = sd(b, na.rm = TRUE))
#> <SQL> #> SELECT STDDEV_SAMP(`b`) AS `x` #> FROM `df`
lf %>% summarise(y = cor(b, c), y = cov(b, c))
#> <SQL> #> SELECT CORR(`b`, `c`) AS `y`, COVAR_SAMP(`b`, `c`) AS `y` #> FROM `df`