I am new using R, and I have a problem when reading data. I am reading a .csv file:
table<- read.table("/Users/.../data.plants.csv", header=FALSE, sep=";")
The table has the format:
V1 V2 V3 V4 V5 V6 V7 V8
1 nutrient light microsatellite_length genotype_A genotype_B height leaf_type leaf_size
2 rich bright 4 AA Bb 48.5 rough 10.43
3 rich bright 2 Aa Bb 47 smooth 6.54
....(continues)
I want to just select one column, the column that has leaf size. I am doing it like this:
x<-subset(table,select=c(V8))
It has a problem, it also selects the header ("leaf_size") and I want just the numeric values. How can I select just the column numeric values?
Use header=TRUE
in your read.table
call. Or just use read.csv
as it defaults to this.
plants <- read.csv("/Users/.../data.plants.csv")
To add to the first answer, by default, read.csv results in strings being classified as factors. If you do not want this (and generally, you don't), one uses:
read.table('plants.csv', stringsAsFactors=FALSE, sep=';') -> plants
plants[,6]
will then give you the sixth column as strings. I'll assume you want it as numbers, given by as.numeric(plants[,6])
. Hope that helps!
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