Function for co-variate conversion of isotope systems
cov_R.Rdcov_R create a wide format tibble for an isotope pair
Arguments
- .IC
A tibble containing processed ion count data.
- .ion
A character string or vector constituting ion names.
- ...
Variables for grouping.
- .species
A variable constituting the species analysed.
- .t
A variable constituting the time of the analyses.
- .preserve
A logical whether to preserve ID variable.
Value
A tibble::tibble in wide format
Details
This functions converts the long format data frame to a wide format tibble for an isotope pair based on an unique identifier for the time of measurement. The data can be linked by a combination of three variable unique for the analyses; the file name, the chemical species name and the time increment of measurement. Pay attention when using in combination with `zeroCt()`.
Examples
# raw data containing 13C and 12C counts on carbonate
tb_rw <- read_IC(point_example("2018-01-19-GLENDON"))
# Processing raw ion count data
tb_pr <- cor_IC(tb_rw)
# wide format
cov_R(tb_pr, c("13C", "12C"), file.nm)
#> # A tibble: 11,700 × 6
#> file.nm t.nm Xt.pr.12C Xt.pr.13C N.pr.12C N.pr.13C
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2018-01-19-GLENDON_1_1 0.54 34460. 358. 12040 125
#> 2 2018-01-19-GLENDON_1_1 1.08 34202. 341. 11950 119
#> 3 2018-01-19-GLENDON_1_1 1.62 34632. 395. 12100 138
#> 4 2018-01-19-GLENDON_1_1 2.16 34191. 366. 11946 128
#> 5 2018-01-19-GLENDON_1_1 2.7 34855. 378. 12178 132
#> 6 2018-01-19-GLENDON_1_1 3.24 34672. 369. 12114 129
#> 7 2018-01-19-GLENDON_1_1 3.78 34766. 369. 12147 129
#> 8 2018-01-19-GLENDON_1_1 4.32 34609. 366. 12092 128
#> 9 2018-01-19-GLENDON_1_1 4.86 34414. 406. 12024 142
#> 10 2018-01-19-GLENDON_1_1 5.4 34474. 409. 12045 143
#> # … with 11,690 more rows