It might be easier to diagnose if you can show us what the first ten lines
in your original file look like.
readLines("gokind.nephropathy.fin", n=10)
David L Carlson
On Mon, Jun 1, 2020 at 6:36 PM Bert Gunter wrote:
> Agreed!
>
> However, there may still be a problem, as read.table() ordinari
Agreed!
However, there may still be a problem, as read.table() ordinarily would
read numeric columns correctly (via type.convert()) without the colClasses
specification.
So I would suspect that her "numeric" columns contain some non-numeric
detritus (perhaps "," or some NA symbol). But of course,
On 6/1/20 2:17 PM, Ana Marija wrote:
> HI David,
>
> this is the problem:
>
> > NEP <- read.table("gokind.nephropathy.fin",
> header=T,stringsAsFactors=FALSE)
> > sapply(NEP,class)
> Chr BP Marker MAF A1 A2
> "character" "character" "character" "char
HI David,
this is the problem:
> NEP <- read.table("gokind.nephropathy.fin",
header=T,stringsAsFactors=FALSE)
> sapply(NEP,class)
Chr BP Marker MAF A1 A2
"character" "character" "character" "character" "character" "character"
Direction pValue
On 6/1/20 1:37 PM, Ana Marija wrote:
Hello,
I have a dataframe like this:
ChrBP Marker MAF A1 A2 Direction pValueN
1 10 10625 10:10625:A:G 0.416562 G A - 0.558228 1594
2 10 10645 10:10645:A:C 0.215182 C A - 0.880622 1594
..
7th fileld, Direction contains only "+" and "-"
On Mon, Jun 1, 2020 at 3:46 PM Bert Gunter wrote:
> I count 8 fields in your data and 9 names in your heading ??
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus
I count 8 fields in your data and 9 names in your heading ??
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Jun 1, 2020 at 1:38 PM Ana Marija
wrote:
>
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