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Applied Workarounds: msaa_is_slow Framebuffer discarding can hurt performance on non-tilers: 570897 Applied Workarounds: disable_discard_framebuffer Use GL_INTEL_framebuffer_CMAA on ChromeOS: 535198 Applied Workarounds: disable_framebuffer_cmaa Disable KHR_blend_equation_advanced unti...
An easy shortcut to repeat blocks of text or transpose two lines of text (though this appears mistakenly overloaded with another shortcut on Windows/Linux) Keyboard shortcuts are reasonably consistent with OS-specific shortcuts, though the Ctrl key is used in Mac more than generally seen in ...
(Quite often Windows isn't aware of the newest available drivers for a particular graphics card; their driver database tends to lag a couple years behind) Another avenue to try: is it possible to disable hardware acceleration for your graphics card? Or are there other similar settings that mi...
System details RStudio Edition : Desktop RStudio Version : 1.3.1033 (also tried with the latest stable release, no luck.) OS Version : Windows 10 R Version : 4.0.0 Steps to reproduce the problem make any plot click export button in RStud...
2. 資料匯入跟維度轉換(os,np.transpose) import os import numpy as np os.chdir('/Users/chuang/Desktop/R/python-r/') text_file = open("height.txt") lines = text_file.read().split('#')[4] data=[] for n in range(1, 5): cdata = lines.split('\n')[n].split(',') cdata ...
## The following object is masked from 'package:data.table': ## ## transpose ## The following object is masked from 'package:scales': ## ## discard require(ramify) ## Loading required package: ramify ## ## Attaching package: 'ramify' ...
diff --git a/README.md b/README.md index 3ab5a1d..3cd0a49 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,95 @@ # R_beginners -从头写一个适合医学生的R语言零基础入门系列 +> 从头写一个适合医学生的R语言零基础入门系列 + + + +- 本合集的Github项目地址:[R_beginners](...
as the genes are organized in the columns and the treatments in the lines. So we need to get the transpose of the data. We will also remove the column with the gene names and use it to put name in the columns of the data frame. Same for rownames that will be the condition names....
max(quantile(m.mad, probs=seq(0,1,0.25))[2],0.01)),]## 转换为样品在行,基因在列的矩阵dataExpr <- as.data.frame(t(dataExprVar))## 检测缺失值gsg = goodSamplesGenes(dataExpr, verbose =3) ## Flagging genes and samples with too many missing values... ...