Mutate new columns into sample_info
Usage
mutate2sample(
object,
what = c("mean_intensity", "median_intensity", "sum_intensity", "na_number", "na_prop"),
according_to_variables = "all",
...
)
# S3 method for class 'microbiome_dataset'
mutate2sample(
object,
what = c("sum_intensity", "mean_intensity", "median_intensity", "na_number", "na_prop"),
according_to_variables = "all",
...
)Examples
data("global_patterns", package = "microbiomedataset")
x <- mutate2sample(global_patterns, what = "sum_intensity")
head(x@sample_info)
#> sample_id Primer Final_Barcode Barcode_truncated_plus_T
#> CL3 CL3 ILBC_01 AACGCA TGCGTT
#> CC1 CC1 ILBC_02 AACTCG CGAGTT
#> SV1 SV1 ILBC_03 AACTGT ACAGTT
#> M31Fcsw M31Fcsw ILBC_04 AAGAGA TCTCTT
#> M11Fcsw M11Fcsw ILBC_05 AAGCTG CAGCTT
#> M31Plmr M31Plmr ILBC_07 AATCGT ACGATT
#> Barcode_full_length SampleType
#> CL3 CTAGCGTGCGT Soil
#> CC1 CATCGACGAGT Soil
#> SV1 GTACGCACAGT Soil
#> M31Fcsw TCGACATCTCT Feces
#> M11Fcsw CGACTGCAGCT Feces
#> M31Plmr CGAGTCACGAT Skin
#> Description class sum_intensity
#> CL3 Calhoun South Carolina Pine soil, pH 4.9 Subject 864077
#> CC1 Cedar Creek Minnesota, grassland, pH 6.1 Subject 1135457
#> SV1 Sevilleta new Mexico, desert scrub, pH 8.3 Subject 697509
#> M31Fcsw M3, Day 1, fecal swab, whole body study Subject 1543451
#> M11Fcsw M1, Day 1, fecal swab, whole body study Subject 2076476
#> M31Plmr M3, Day 1, right palm, whole body study Subject 718943
