that's my best guess. Going back to your original
> data you can try
>
> dfb = chkPd[chkPd$PN %in% df$PN,]
>
> Hope it helps,
> Ista
>
> On Thu, Oct 22, 2009 at 6:10 PM, Sean MacEachern
> wrote:
>> Hi Ista,
>>
>> I think I'm suffering long da
,
> Comment in line below.
>
> On Thu, Oct 22, 2009 at 5:39 PM, Sean MacEachern
> wrote:
>> Hi,
>>
>> I'm running into a problem subsetting a data frame that I have never
>> encountered before:
>>
>>> dim(chkPd)
>> [1] 3213 6
>
Hi,
I'm running into a problem subsetting a data frame that I have never
encountered before:
> dim(chkPd)
[1] 32136
> df = head(chkPd)
> df
PNWB Sire Dam MG SEX
601 1001 715349 61710 61702 67F
969 1001_1 511092 616253 615037 168F
986 1
Thank you Cedric.
That was a nice straight forward example that works great.
Cheers,
Sean
On 8/10/09 11:45 AM, "Cedrick Johnson" wrote:
> Try this:
>
> png(file="Desktop/hist1.png")
> plot(glm1$residuals,gain,main = "Hist of residuals and gain"
Appologies if this has been addressed before, but I can't seem to find it in
the help archives.
I'm looking to do something like the following but it looks like save.plot
is deprecated.
save.plot(plot(glm1$residuals,gain,main = "Hist of residuals and
gain"),file="Desktop/hist1.png")
Thanks in a
Hi All,
Just hoping some one can give me a hand with a problem...
I have a dataframe (DF) with about 5 million entries that looks something
like the following:
>DF
ID Cl Co BrdInd A AB AB
1 S-3 IND A BR_F BR_F01 1 0 0
2 S-3 IND A BR_F BR_F01 1 0 0
3 S-3 IND A BR_F BR_F01 1
Hi all,
I'm interested in doing a multiple density plot on a number of columns in a
dataframe.
>DF
lineA.1 lineA.2 lineB.1 lineB.2
r1 5.355354 6.665575 10.288498 11.74750
r2 3.643415 5.427600 11.407112 13.97065
r3 5.813674 6.438502 9.628871 11.57456
r4 5.241340 5.125049 10.456221
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