The goal of smartread is to provide a single function API for reading in data from common file types.
You can install the development version of {smartread} from Github with:
## install from github
devtools::install_github("mkearney/smartread")This is a basic example which shows you how to use read_smart()
## basic example dat
exdat <- datasets::mtcars
## save as multiple different file types
saveRDS(exdat, "exdat.rds")
save(exdat, file = "exdat.rda")
write.csv(exdat, "exdat.csv")
## now read and view the .rds file
head(c1 <- read_smart("exdat.rds"))
#> # A tibble: 6 x 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
## now read and view the .csv file
head(c2 <- read_smart("exdat.csv"))
#> Warning: Missing column names filled in: 'X1' [1]
#> # A tibble: 6 x 12
#> X1 mpg cyl disp hp drat wt qsec vs am gear carb
#> <chr> <dbl> <int> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int>
#> 1 Mazda… 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 Mazda… 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 Datsu… 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 Horne… 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 Horne… 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 Valia… 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
## now read and view the .rda file
head(c3 <- read_smart("exdat.rda"))
#> # A tibble: 6 x 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1