diff_trans <- function(item_par, F_n, MDISC){ #用于难度值转换的函数 if(str_count(colnames(item_par),"d0")%>%sum() >=1){ item_par <- item_par[,-which(colnames(item_par)=="d0")] } grade<- str_remove_all(string = colnames(item_par),pattern = "d0")%>% str_count( "d...
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dataset$sample_sums() %>% range #计算并查看标准化后样本总数的范围dataset$cal_abund() #计算每个分类等级的分类群丰度t1<- trans_diff$new(dataset = dataset,...
trans_diff class(小编注释:该函数用于筛选不同分组间差异的物种或类群) 指标类群的鉴定对于解释不同群体间群落结构差异的生物学机制具有重要意义。随着微生物群落生态学中测序数据复杂性的增加,评估各组间有显著差异的分类群是一个挑战。因此,一些工具,如LEfSe(Segata等人,2011),结合了监督机器学习和差异丰度测试的优...
wctrans wctype 写入 _write wcsicoll xor xor_eq y0、y1、yn 下载PDF 使用英语阅读 保存 添加到集合 添加到计划 通过 Facebookx.com 共享LinkedIn电子邮件 .- . 项目 2024/08/03 8 个参与者 反馈 本文内容 语法 返回值 备注 要求 显示另外 2 个 ...
scale_y_continuous(trans = "reverse") + theme(panel.background = element_blank()) 2.马赛克图 马赛克图用于显示分类数据中一对变量之间的关系。 df <- tibble( gene = rep(LETTERS[1:5], 4), status = rep(c("alpha", "beta", "gamma", "delta"), each = 5), ...
yfit<-yfit*diff(h$mids[1:2])*length(x) #?什么意思 lines(xfit,yfit,col="blue",lwd=2) box() #生成围绕图形的盒子 detach(mtcars) --- 8 核密度图 par(mfrow=c(2,1)) plot(density(mtcars$mpg)) polygon(density(mtcars$mpg), col='grey',...
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#这里的diff函数是用来计算相邻两数只差,对每一列,后一个数减前一个数 trans_data = np.log(data).diff().dropna() #print np.log(data).head() #print np.log(data).diff().head() print trans_data.head() plt.scatter(trans_data['m1'],trans_data['unemp']) ...