利用上面的结果绘制 MA 图,这里面绘图函数plotSmear 是 edgeR 软件包内置的函数,所以在整个软件包计算出来的差异表达结果可直接读入该函数,我们选择pvalue < 0.001, foldchange = 2,获得上调基因 3230 下调基因 1298,其他为不显著基因,如下: deGenes <- decideTestsDGE(lrt, p=0.001, lfc = 2) summary(deGen...
也包括多个R包可以实现MA图绘制: affy (ma.plot, mva.pairs), limma (plotMA), marray (maPlot), and edgeR(maPlot) 原文参考维基百科:MA plot(点击进入页面) ### Microarraydata is often normalized within arrays to control for systematic biases in dye coupling and hybridization efficiencies, as wel...
n = nrow(m) # circos.boxplot is applied on matrix columns, so here we transpose it. circos.boxplot(t(m), pos = 1:n - 0.5, pch = 16, cex = 0.3) circos.lines(CELL_META$cell.xlim, c(0, 0), lty = 2, col = "grey") }, cell.padding = c(0.02, 0, 0.02, 0)) 1. 2....
play_forecast <- predict(res, n.ahead = 21) plot(res, n.ahead = 21, type = 'o') 下面大家可以按照上述步骤自己练习一下,采用R中的quantmod获取amazon公司的股票收盘价,选取合适的ARIMA模型对其日收益率序列进行建模和预测。 require(quantmod) getSymbols("AMZN") Matlab和Python中的ARIMA实现 在Python中...
plot(tdata,xlab="时间",ylab="gdp") lines(m1,col="red",cex=1.5) 1. 2. 3. 4. 5. 代码运行结果如上图,红色表示拟合值,黑色表示真实值。 2、二次移动平均 二次移动平均即在一次移动平均的基础上再进行一次移动平均。一般两次移动平均的项数是一致的。二次移动平均假设序列长期趋势的斜率是随时间的变...
And to plot the results: forestplot(R2, type = "R2", line_size = 0.7, text_size = 14, point_size = 3)About R package to partition R2 among predictors in Generalized linear mixed models Resources Readme License Unknown, MIT licenses found Citation Cite this repository Activity Stars...
In subject area: Biochemistry, Genetics and Molecular Biology Loess is a method of local regression that is based on MA plot, which normalizes the data by subtracting the difference between the arrays from the average mean difference across arrays (Cleveland and Devlin, 1988; ...
plot a MA plotdatalist
Error in plot.window(xlim = xlim, ylim = ylim, log = log, yaxs = pars$yaxs) : 'ylim'值不能是无限的 In addition: Warning messages: 1: In min(x) : no non-missing arguments to min; returning Inf 2: In max(x) : no non-missing arguments to max; returning -Inf写...
ts.plot(x);acf(x) set.seed(101); x=NULL;for(i in 1:200)x=c(x,0.5-0.3*i+rnorm(1))#随机产生数 par(mfrow=c(2,2));ts.plot(x);#画时间序列图 acf(x);ts.plot(diff(x));acf(diff(x))#diff(x)是对原序列进行差分 set.seed(10) ...