I assume the solution is somewhat the same; you just have to define how to
determine what the "distinctive" names are to create the groupings. My
solution assumed it was the first character. If the group names end in a
unique sequence, you can use this to form the groups, or you can provide a
lis
Please learn to use dput() to post example data.
# This is your data:
data <- structure(c(1232, 0, 43, 357, 71, 919, 23, 9, , 0, 811, 0,
9871, 795, 76, 72, 743, 14), .Dim = c(3L, 6L), .Dimnames = list(
NULL, c("X1", "X2", "X3", "Y1", "Y2", "Y3")))
data
# define groups and threshold expl
sorry, for the misunderstanding. here is a more elaborate description of
what i would like to achieve.
I have a data set of counts from a RNA-Seq experiment and would like to
filter reads with low counts. I don't want to set everything to 0
automatically.
I would like to set each categorical grou
Is this what you want:
> x <- read.table(text = "X1X2X3Y1Y2Y3
+ 1232357230987172
+ 0719811795743
+ 4391907614", header = TRUE)
> x
X1 X2 X3 Y1 Y2 Y3
1 1232 357 23 0 9871 72
20 719 811 795
Hi,
I have a data frame with multiple columns, which are belong to several
groups
like that:
X1X2X3Y1Y2Y3
1232357230987172
0719811795743
4391907614
I would like to filter such rows out, where the sums in one group
Hi Michael,
Thanks so much for your detailed reply!
I gained a better understanding of the read.fwf function, along with
ensuring I better note how these read-in functions convert variables, etc.
As well, your tip on removing "format" while converting the PRVDR_NUM
variable to numeric (from fac
Inline.
On Fri, Mar 9, 2012 at 7:04 PM, RHelpPlease wrote:
> Hi there,
> I am having trouble subsetting a data frame by a conditional via one column
> (of many).
>
> I read the file into R through "read.fwf," where I specified column widths.
> Original data is .DAT. I then utilized "names" funct
Hi there,
I am having trouble subsetting a data frame by a conditional via one column
(of many).
I read the file into R through "read.fwf," where I specified column widths.
Original data is .DAT. I then utilized "names" function to read in column
headings.
For one column, PRVDR_NUM, I wish to f
"jim holtman" <[EMAIL PROTECTED]> writes:
> try:
> input[,targets, drop=FALSE]
> see:
> ?"["
> for an explanation.
Thanks, you who responded; this was exactly helpful, and a good
reference to the part of the FM I was missing. To unpack (and
demonstrate some comprehension gained.. ;) the sub
Try this also:
input[targets]
On 08/02/2008, Allen S. Rout <[EMAIL PROTECTED]> wrote:
>
> Greetings.
>
> At the moment, I'm applying R to some AIX 'nmon' output, trying to get
> a handle on some disk performance metrics. In case anyone's
> interested:
>
> http://docs.osg.ufl.edu/tsm/pdf/
>
> som
I think I understand this. Try
str(input) and you will see that input$disk2 in a
vector. You can force a data.frame using
data.frame(input(,targets))
--- "Allen S. Rout" <[EMAIL PROTECTED]> wrote:
>
> Greetings.
>
> At the moment, I'm applying R to some AIX 'nmon'
> output, trying to get
>
try:
input[,targets, drop=FALSE]
see:
?"["
for an explanation.
On 2/8/08, Allen S. Rout <[EMAIL PROTECTED]> wrote:
>
> Greetings.
>
> At the moment, I'm applying R to some AIX 'nmon' output, trying to get
> a handle on some disk performance metrics. In case anyone's
> interested:
>
> http://
Greetings.
At the moment, I'm applying R to some AIX 'nmon' output, trying to get
a handle on some disk performance metrics. In case anyone's
interested:
http://docs.osg.ufl.edu/tsm/pdf/
some of them are more edifying than others. (ahem)
I'm trying to develop a somewhat general framework for
jim holtman wrote:
> Is this what you want?
>
>
>> x <- read.table(textConnection("Score Name
>>
> + 88 19_0070
> + 88 19_0070
> + 87 19_0070
> + 79 002127_0658
> + 79 002127_0658
> + 77 002127_0658"), header=TRUE)
Is this what you want?
> x <- read.table(textConnection("Score Name
+ 88 19_0070
+ 88 19_0070
+ 87 19_0070
+ 79 002127_0658
+ 79 002127_0658
+ 77 002127_0658"), header=TRUE)
> # return best scores
> best <- by(x, x$Name, f
Dear all,
I would like to be able to subset a data.frame in a special way. I will put
here an example:
Score Name
88 19_0070
88 19_0070
87 19_0070
79 002127_0658
79 002127_0658
77 002127_0658
So, for the abo
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