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我是 R 新手。我正在使用一个脚本，该脚本根据国家/地区将 atlas1006 微生物组数据分成 3 组疾病流行率（低、中、高）。我想将每组细分：低、中、高，每组分为男性和女性，即低男、低女、中男、中女、高男、高女。我也想保持现有的 3 个组低、中、高。这是将数据拆分为低、中、高的代码：

# Create mnd variable
# grabs the nationality from phyloseq
test <- get_variable(pseq, "nationality" )

# check you've installed this library
library(forcats)

# this collapses the two variables into a new variable AB in this case. The command for multiple changes is fct_collapse(x, AB = c("A","B"), DE = c("D","E"))
# test <- fct_collapse(test, LOW = c("Scandinavia","EasternEurope") , MEDIUM = c("SouthEurope","CentralEurope", "UKIE"), HIGH = c("US") )

test <- fct_collapse(test, LOW = c("EasternEurope","Scandinavia") , MEDIUM = c("SouthEurope","CentralEurope", "UKIE" ), HIGH = c("US"))

# reorder
test <- factor(test, levels = (c("LOW", "MEDIUM", "HIGH")))
levels(test)

# creates a new variable in the phyloseq called mnd
sample_data(pseq)$mnd = test

# checks that it has worked.
get_variable(pseq, "mnd")

关于如何从这里进行性别分离的任何想法？

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1 回答 1

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如果您想创建包含高组和女性的单独 phyloseq 对象。您可以使用 subset_samples

subset_samples(pseq, mnd=="high" & gender_variable == "female")

于 2020-03-09T04:00:58.030 回答