WebSolution. To get a subset based on some conditional criterion, the subset () function or indexing using square brackets can be used. In the examples here, both ways are shown. One important difference between the two methods is that you can assign values to elements with square bracket indexing, but you cannot with subset (). WebThe plant-specific NAC transcription factors play important roles in plant response to drought stress. Here, we have compared the expression levels of a subset of GmNAC genes in drought-tolerant DT51 and drought-sensitive MTD720 under both normal and drought stress conditions aimed at identifying correlation between GmNAC expression levels and …
5 Ways to Subset a Data Frame in R R-bloggers
Webinstall.packages("dplyr") # Install dplyr package library ("dplyr") # Load dplyr package. Now, we can use the filter function of the dplyr package as follows: filter ( data, group == "g1") # … WebDec 19, 2024 · Machine Learning and Data Science. Complete Data Science Program(Live) Mastering Data Analytics; New Courses. Python Backend Development with Django(Live) Android App Development with Kotlin(Live) DevOps Engineering - Planning to Production; School Courses. CBSE Class 12 Computer Science; School Guide; All Courses; Tutorials. … chrome pc antigo
5 Ways to Subset a Data Frame in R R-bloggers
WebTutorial that compares the pros & cons of data.frame vs. data.table objects in the R programming language. The tutorial was created in collaboration with… WebHow to creating a subset for an condition level in somebody R data frame - By data analysis, we often deal with factor variables and these factor mobiles have different levels. Occasional, we want to create parent of the data frame in R by specific factors levels to analyze the data only fork that specialty level the the part variable. This could be simply … WebThe subset ( ) function is the easiest way to select variables and observations. In the following example, we select all rows that have a value of age greater than or equal to 20 or age less then 10. We keep the ID and Weight columns. In the next example, we select all men over the age of 25 and we keep variables weight through income (weight ... chrome pdf 转 图片