dbplyr (version 2.5.0)

backend-postgres: Backend: PostgreSQL

Description

See vignette("translation-function") and vignette("translation-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.

Usage

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))
lf %>% summarise(y = cor(b, c), z = cov(b, c))