> On Feb 28, 2017, at 8:36 AM, Jeff Newmiller wrote:
>
> For tasks like this, you will probably want to make sure to import the data
> as character data rather than as a factor. E.g.
>
> dat <- read.csv( "myfile.csv", header=FALSE, as.is=TRUE )
>
> You can check what you have with the str()
For tasks like this, you will probably want to make sure to import the data as
character data rather than as a factor. E.g.
dat <- read.csv( "myfile.csv", header=FALSE, as.is=TRUE )
You can check what you have with the str() function.
--
Sent from my phone. Please excuse my brevity.
On Februa
> On Feb 28, 2017, at 3:38 AM, Harshal Athawale
> wrote:
>
> I am new in R.
>
> I have a file. This file contains name of the companies.
> 'data.frame': 494 obs. of 1 variable:
> $ V1: Factor w/ 470 levels "3-d engineering corp",..: 293 134 339 359 143
> 399 122 447 398 384 ...
>
> Problem:
I am new in R.
I have a file. This file contains name of the companies.
'data.frame': 494 obs. of 1 variable:
$ V1: Factor w/ 470 levels "3-d engineering corp",..: 293 134 339 359 143
399 122 447 398 384 ...
Problem: I would like to remove "CO" (As it is the most frequent word). I
would like "C
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