How to create a random sample from .csv in r

I need to pull a random sample of 100,000 - 200,000 rows from a csv dataset of 2.8mil rows. How do I effectively do this so that the random sample can be cleaned and processed?

Under the DMwR2 library, I have used the sampleCSV function, but the output data messes up the 22 variables that I need to use.

library(caret)

library(DMwR2)

dataset source: https://www.kaggle.com/pschale/mlb-pitch-data-20152018#pitches.csv

pitchData <- sampleCSV(file.choose(), 200000, 2867154 , header = TRUE , mxPerc = 0.5)

summary(pitchData)

I expect the output of summary(pitchData) to have the same variable names as the csv file, but it renames them using random numbers, and some of the variables are lost.