A user is importing a CSV file in R but what goes trouble is the class of the attributes change into factors as all the numeric column increases.How to fix that?
If the dataset has a very less numeric column, we can change it manually by defining each column to numeric such as
df = read.csv2(file.choose(), header = T, stringsAsFactors=F)
df$LAI1 = as.numeric(df$LAI1)
df$LAI2 = as.numeric(df$LAI2)
df$LAI3 = as.numeric(df$LAI3)
Now when the columns increase it won’t be possible to define all the columns to numeric.In such cases, we can use readr::read_csv and col_types such as
df <- read_csv(file, col_types = list(LAI1 = col_number(),
LAI2 = col_number(),
LAI3 = col_number())