R/read_params_table.R
read_params_table.Rd
Getting parameters data from tables files (Excel sheet, csv)
read_params_table(
file,
sheet_name = NULL,
num_na = "NA",
char_na = "NA",
file_path = lifecycle::deprecated()
)
A tibble of parameters
After data are loaded, numerical and string NA values are replaced respectively with num_na or char_na
usm_xl_file <- download_usm_xl(
file = "inputs_stics_example.xlsx",
verbose = FALSE
)
#> Warning: inputs_stics_example.xlsx already exists in /var/folders/1y/56hdyx6x0_jb18k7b4ys9b6w0000gn/T//Rtmp6TMon6
#> Consider to set overwrite = TRUE to overwrite (it | them )
read_params_table(usm_xl_file, sheet = "USMs")
#> # A tibble: 12 × 19
#> usm_name datedebut datefin finit nomsol fstation fclim1 fclim2 culturean
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 USM_2017_T1_… 199 263 USM_… USM_T1 climate… clima… clima… 1
#> 2 USM_2018_T1 264 570 USM_… USM_T1 climate… clima… clima… 2
#> 3 BIN_CAN_05_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 4 BIN_AGT_04_I… 264 570 Vill… LF1 climate… clima… clima… 2
#> 5 AGA_ARB_13_I… 199 263 Vill… LF1 climate… clima… clima… 2
#> 6 AGA_ARB_13_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 7 FRA_ARB_11_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 8 MAG_ARB_09_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 9 MAG_ARV_12_I… 199 263 Vill… LF1 climate… clima… clima… 2
#> 10 MAG_ARV_12_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 11 FRA_ARB_12_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 12 FRA_ARB_13_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> # ℹ 10 more variables: nbplantes <chr>, codesimul <chr>, fplt_1 <chr>,
#> # ftec_1 <chr>, flai_1 <chr>, fobs_1 <chr>, fplt_2 <chr>, ftec_2 <chr>,
#> # flai_2 <chr>, fobs_2 <chr>
usm_csv_file <- download_usm_csv(
file = "inputs_stics_example_USMs.csv",
verbose = FALSE,
stics_version = "V9.2"
)
#> Warning: inputs_stics_example_USMs.csv already exists in /var/folders/1y/56hdyx6x0_jb18k7b4ys9b6w0000gn/T//Rtmp6TMon6
#> Consider to set overwrite = TRUE to overwrite (it | them )
read_params_table(file = usm_csv_file)
#> # A tibble: 12 × 19
#> usm_name datedebut datefin finit nomsol fstation fclim1 fclim2 culturean
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 USM_2017_T1_… 199 263 USM_… USM_T1 climate… clima… clima… 1
#> 2 USM_2018_T1 264 570 USM_… USM_T1 climate… clima… clima… 2
#> 3 BIN_CAN_05_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 4 BIN_AGT_04_I… 264 570 Vill… LF1 climate… clima… clima… 2
#> 5 AGA_ARB_13_I… 199 263 Vill… LF1 climate… clima… clima… 2
#> 6 AGA_ARB_13_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 7 FRA_ARB_11_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 8 MAG_ARB_09_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 9 MAG_ARV_12_I… 199 263 Vill… LF1 climate… clima… clima… 2
#> 10 MAG_ARV_12_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> 11 FRA_ARB_12_S… 199 263 Vill… LF1 climate… clima… clima… 2
#> 12 FRA_ARB_13_S… 264 570 Vill… LF1 climate… clima… clima… 2
#> # ℹ 10 more variables: nbplantes <chr>, codesimul <chr>, fplt_1 <chr>,
#> # ftec_1 <chr>, flai_1 <chr>, fobs_1 <chr>, fplt_2 <chr>, ftec_2 <chr>,
#> # flai_2 <chr>, fobs_2 <chr>