Remove from a list or replace NaN with a value
Hi every one, During microarray meta-analysis, I encounter below error.
# "anals” class is a list.
es_res <- es_meta(anals, by_source = TRUE) Error in quantile.default(x, probs = c(0.25, 0.75)) : missing values and NaN's not allowed if 'na.rm' is FALSE
please guide me, which one is more logical, remove NaN or replace with a value? How to remove or replace NaN with a value? I would be very pleased if you could guide me.
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Jean-Karim Heriche
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Morteza Hadizadeh •
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Morteza Hadizadeh •
1 answer
Removing NaNs and missing values is an R programming exercise. Replacing missing values is called imputation. There are quite a few articles on methods for doing this with microarray data. See for example:
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