, not the
> character vector) to access the loaded objects instead of get. Use of
> the backticks doesn't do what I think you (Francy) think it does here.
>
> Of course, I think this is all a little easier if one uses saveRDS /
> readRDS which can assign directly to an object up
Hi,
I am trying to access many .Rdata objects and do some operations with them
using a loop. I can load the files but can't access them. The files' names
are stored in a character vector called "names". After loading the objects,
I can view each one using ls() and see that two objects are present
I also tried using Jim's code, but it doesn't work as expected with my real
dataset. This is what I did:
Best.na <- do.call(rbind, lapply(split(x, x$A), function(.grp){
best <- which.min(apply(.grp, 1, function(a) sum(is.na(a
.grp[best, ]
}))
df.split <- split(Best.na, Best.na$
Thank you very much to both your replies.
Trinker's solution works great for small dataset, but the 'split' function
just hangs when I try to apply it to all my data (around 9,000 rows)…Has
anyone encountered this problem before, and do you know what I could try?
Thanks again.
--
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Dear r experts,
Sorry for this basic question, but I can't seem to find a solution…
I have this data frame:
df <- data.frame(id = c("id1", "id1", "id1", "id2", "id2", "id2"), A =
c(11905, 11907, 11907, 11829, 11829, 11829), v1 = c(NA, 3, NA,1,2,NA), v2 =
c(NA,2,NA, 2, NA,NA), v3 = c(NA,1,NA,1,NA,
Dear experts,
I am trying to perform an association using snpStats.
I have a snp matrix called 'plink' which contains my genotype data (as
a list of $genotypes, $map, $fam), and a phenotype data frame which
contains the outcomes (outcome1, outcome2,...) I would like to
associate with the genotype.
Hi,
I am having trouble understanding how to approach a simulation:
I have a sample of n=250 from a population of N=2,000 individuals, and I
would like to use either permutation test or bootstrap to test whether this
particular sample is significantly different from the values of any other
rando
Hi,
I am trying to find a function to match two data frames of different lengths
for one field only.
So, for example,
df1 is:
Name Position location
francesca A 75
cristina B 36
And df2 is:
location Country
75 UK
56 Austria
And I would like to match on "Location" and the output to be something
Hi,
I have a simple question about importing data, I would be very grateful if
you could help me out.
I have used read.csv(file name, header=T, sep=",") to bring in a csv file I
saved in MS Excel.The problem is I have white spaces in the middle of values
(not in the column names), and this messes
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