View source: R/phyloseq_standardize_otu_abundance.R
phyloseq_standardize_otu_abundance | R Documentation |
Standardize phyloseq OTU table with with methods from decostand
from vegan package.
phyloseq_standardize_otu_abundance(
physeq,
method = "total",
rhea_depth = NULL,
rhea_round = TRUE,
rhea_threshold = NULL,
...
)
physeq |
A phyloseq-class object |
method |
Standardization method |
... |
Additional parameters may be passed to vegan |
Supported methods:
"total" - convert data to relative abundances (divide by sample total);
"pa" - convert OTU abundances to presence/absence scale (0/1);
"log" - logarithmic transformation as suggested by Anderson et al. (2006): log (x) + 1 for x > 0, zeros are left as zeros, logarithm base = 2. Please note this is not log(x+1);
"hellinger" - square root of method = "total" (Legendre & Gallagher 2001);
"max" - divide by sample maximum;
"frequency" - divide by sample total and multiply by the number of non-zero items, so that the average of non-zero entries is one;
"normalize" - make sample sum of squares equal to one;
"range" - standardize values into range 0 ... 1. If all values are constant, they will be transformed to 0;
"rank" - replace abundance values by their increasing ranks leaving zeros unchanged. Average ranks are used for tied values;
"rrank" - replace abundance values by relative ranks with maximum 1. Average ranks are used for tied values;
"standardize" - scale OTU abundances within sample to zero mean and unit variance;
"wisconsin" - Wisconsin double standardization where species are first standardized by maxima and then sites by site totals;
"chi.square" - divide by sample sums and square root of OTU sums, and adjust for square root of matrix total (Legendre & Gallagher 2001). When used with the Euclidean distance, the distances should be similar to the Chi-square distance used in correspondence analysis.
For the implementation of "total", "max", "frequency", "normalize", "range", "rank", "standardize", "pa", "chi.square", "hellinger", "log" methods see decostand
.
phyloseq object with standardized OTU table.
decostand
, phyloseq_transform_css
, phyloseq_transform_vst_blind
, phyloseq_transform_rlog_blind
, physeq_transform_anderson_log
# Load data
data("esophagus")
# Total-sum scaling (TSS) normalization
phyloseq_standardize_otu_abundance(esophagus, method = "total")
# the same as
transform_sample_counts(esophagus, function(OTU) OTU/sum(OTU) )
identical(
phyloseq_standardize_otu_abundance(esophagus, method = "total"),
transform_sample_counts(esophagus, function(OTU) OTU/sum(OTU)) )
# Presence-absence scaling (0/1)
phyloseq_standardize_otu_abundance(esophagus, method = "pa")
# Logarithmic transformation as in Anderson et al., 2006
phyloseq_standardize_otu_abundance(esophagus, method = "log")
# Hellinger standardization
phyloseq_standardize_otu_abundance(esophagus, method = "hellinger")
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