随笔分类 - R包 microeco
摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\machine learning\\Diversity_pathway") library(microeco) library(magrittr) library(file2meco)
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\machine learning\\Diversity") library(microeco) library(magrittr) feature_table <- read.tabl
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\New_microtable") #设置工作目录 library(microeco) library(magrittr) library(dplyr) library(tibble)
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\New_microtable") #设置工作目录 library(microeco) library(magrittr) library(dplyr) library(tibble)
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\New_microtable") #设置工作目录 library(microeco) library(magrittr) library(dplyr) library(tibble)
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摘要:Vertex 135 Edge 1523 Average_degree 22.562962962963 Average_path_length 2.20846705198353 Network_diameter 6 Clustering_coefficient 0.701431967070555 D
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\microtable") #设置工作目录 library(microeco) library(magrittr) library(tidyverse) library(aplot) l
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\microtable") #设置工作目录 library(microeco) library(magrittr) feature_table <- read.table('featur
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摘要:rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\microtable") #设置工作目录 library(microeco) library(magrittr) feature_table <- read.table('featur
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摘要:dataset$sample_sums() %>% range #计算并查看样本总数的范围 dataset$rarefy_samples(sample.size = 1000000) #执行重采样,标准化样本中的测序深度 "46 features are removed because they a
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摘要:输入文件输出文件 rm(list = ls()) setwd("C:\\Users\\Administrator\\Desktop\\microtable") #设置工作目录 library(dplyr) library(tidyr) library(readr) # 读取文件 data <- re
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摘要:(一)准备示例数据 加载microeco包: library(microeco) 加载示例数据集: data(sample_info_16S) data(otu_table_16S) data(taxonomy_table_16S) data(phylo_tree_16S) data(env_dat
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