Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to find minimum value in a numerical vector which is written as a character vector in R?
To find the minimum value of a numeric vector we can directly use min function but if the values are read with double-inverted commas then min function does not work. In this case, we will have to use as.numeric with the vector name so that it can be converted to numeric form before finding the minimum value. For example, if we have a character vector that contains 1, 2, 3, and 4 then the minimum can be found as min(as.numeric(x)).
Example1
x1<−c("1","2","3","4")
min(as.numeric(x1))
[1] 1Example2
x2<−sample(c("18","22","13","14","25","8","17"),120,replace=TRUE)
x2
[1] "18" "22" "22" "25" "14" "17" "14" "14" "18" "22" "25" "25" "22" "14" "17"
[16] "17" "13" "14" "18" "18" "8" "25" "25" "25" "25" "14" "22" "8" "17" "22"
[31] "18" "18" "14" "8" "14" "14" "17" "18" "14" "17" "22" "18" "25" "18" "22"
[46] "14" "18" "22" "14" "25" "13" "8" "17" "13" "22" "8" "13" "17" "8" "13"
[61] "25" "8" "17" "14" "22" "8" "17" "14" "13" "17" "8" "18" "22" "8" "8"
[76] "13" "13" "22" "25" "17" "25" "22" "18" "22" "25" "14" "18" "17" "17" "13"
[91] "25" "13" "25" "22" "8" "18" "14" "8" "13" "8" "18" "13" "22" "22" "25"
[106] "8" "13" "25" "25" "8" "13" "8" "18" "17" "25" "25" "25" "14" "25" "8"
min(as.numeric(x2))
[1] 8Example3
x3<−sample(c("118","322","413","214","125","418","317","247","258","320"),120,replace=TRUE)
x3
[1] "247" "418" "317" "320" "317" "258" "258" "247" "418" "258" "247" "322"
[13] "418" "214" "125" "320" "322" "320" "320" "418" "258" "418" "317" "258"
[25] "118" "118" "317" "125" "247" "320" "247" "125" "214" "320" "317" "125"
[37] "118" "418" "118" "418" "418" "125" "418" "125" "118" "247" "258" "322"
[49] "125" "125" "214" "317" "214" "413" "317" "214" "118" "322" "418" "317"
[61] "258" "214" "258" "320" "125" "247" "317" "258" "214" "322" "214" "418"
[73] "317" "418" "320" "125" "125" "118" "125" "247" "125" "258" "320" "247"
[85] "214" "247" "258" "320" "214" "214" "320" "418" "322" "322" "317" "317"
[97] "258" "214" "320" "320" "214" "125" "258" "413" "317" "118" "413" "320"
[109] "258" "125" "247" "247" "214" "247" "214" "247" "214" "413" "418" "258"
min(as.numeric(x3))
[1] 118Example4
x4<−sample(c("518","309","213","235","325","328","317","247","358","420","299""500"),120,replace=TRUE)
x4
[1] "328" "299" "358" "299" "518" "247" "299" "299" "500" "317" "420" "325"
[13] "317" "328" "420" "317" "325" "247" "235" "247" "247" "518" "299" "518"
[25] "299" "317" "317" "325" "420" "325" "325" "328" "358" "213" "309" "213"
[37] "518" "420" "309" "518" "299" "420" "247" "235" "325" "518" "420" "317"
[49] "325" "328" "309" "358" "500" "299" "299" "213" "235" "420" "213" "317"
[61] "247" "247" "299" "420" "325" "317" "317" "358" "235" "420" "213" "518"
[73] "420" "500" "235" "325" "299" "518" "299" "299" "420" "299" "518" "358"
[85] "299" "213" "317" "317" "309" "325" "420" "328" "247" "299" "325" "309"
[97] "317" "235" "235" "309" "235" "235" "299" "247" "317" "358" "328" "518"
[109] "299" "518" "247" "325" "420" "299" "299" "325" "325" "309" "420" "213"
min(as.numeric(x4))
[1] 213Example5
x5<−sample(c("5112","2542","3241","3211","4125","2568","3742","2784","4269","3627"),120,replace=TRUE)
x5
[1] "2568" "3627" "5112" "4269" "4269" "4125" "4125" "4125" "3627" "3211"
[11] "3241" "3241" "5112" "2784" "3742" "2568" "3211" "5112" "4125" "2784"
[21] "4269" "2784" "3627" "3742" "5112" "3211" "3627" "5112" "3742" "3211"
[31] "3211" "3241" "4269" "5112" "2784" "3241" "3211" "3241" "2542" "4269"
[41] "2542" "2568" "2542" "3241" "4125" "2542" "2568" "4269" "4125" "4269"
[51] "3211" "4269" "2542" "3241" "4125" "4125" "3742" "3627" "3627" "4269"
[61] "3742" "2568" "3241" "2568" "3742" "5112" "4125" "3211" "5112" "3627"
[71] "2784" "2784" "2542" "4269" "3241" "3211" "2568" "2784" "4269" "3241"
[81] "2568" "3627" "3241" "3211" "2568" "3627" "2568" "2568" "3742" "2568"
[91] "4269" "3627" "3627" "2542" "3211" "2542" "5112" "4125" "2542" "3211"
[101] "3241" "2568" "2542" "3211" "3627" "4125" "3627" "5112" "4125" "2784"
[111] "4269" "5112" "3211" "3211" "2542" "5112" "4125" "4269" "3241" "5112"
min(as.numeric(x5))
[1] 2542
Updated on: 06-Nov-2020
214 Views
Advertisements