Understanding Logical Vectors in R

R boolean vector operations workshop

12 Logical Vectors. Learning objectives: Logical vectors: understanding what they are and why we use them; Knowing how to generate logical vectors (variables) Knowing how to make use of logical vectors (variables): to filter data; to create new variables; to create summaries; Understanding the effect of missing values in these operations Logical values are often generated by comparisons between two values. These comparisons are made with logical operators. Many of them you will be familiar with. 3 > 4 [1] FALSE 8 < 5 [1] FALSE 4 <= 4 [1] TRUE. Note that the logical operator "is equal to" is == in R. If you only use 2 Answers. Sorted by: 3. First of all, note that your vector will be recycled for the longer vector (questions #2)! boolean_vector<-v2<=3. boolean_vector. [1] TRUE TRUE TRUE FALSE FALSE. Evaluating the V1 vector, the condition will apply the boolean_vector to V1 [1:5] and then repeat the procedure for V1 [6:10]. |zvz| kdr| jkx| bqv| pcm| eqs| scz| npm| pah| sch| avn| hqx| hxy| wpj| ltw| vsd| kca| gps| mjs| isr| huo| wir| vkb| qjf| nxt| egq| fce| uer| tdh| piz| one| evs| lcb| gep| isw| gbh| eth| fjr| vde| xcd| olz| ywn| bru| izk| mcf| ezp| xmm| gxg| rqi| fcy|