Hi,
I'm very new to R, and am not at all a software
programmer of any sort. I appreciate any help you
may have. I have figured out how to get my data into
a dataframe and order it alphabetically according to a
particular column. Now, I would like to seperate out
certain rows based on partial character matches. Here
is an (extremely) abreviated example of my data set
Probe Ch1 Median - B Ch1 Mean - B
72 5S_F_1 501 567
7700 5S_F_2 338 611
7517 5S_F_3 412 467
10687 5S_F_4 380 428
4870 5S_F_5 315 368
6035 5S_F_6 300 359
3826 5S_F_7 350 386
8754 5S_F_8 450 473
6399 5S_F_9 439 494
749 5S_F_10 334 384
I would like to be able to select out all rows with,
for example, "5S_F_" in the Probe column (there are
non-"5S_F_" containing values in the real, larger data
set).
I think pmatch does this for instances where there is
only 1 match, but I would like to recover all the
matches. I have tried to use charmatch, match,
pmatch, agrep and grep for this purpose, but with no
luck.
When I grep for "5S_F_" with value = T, I get
"character(0)"
Adding wildcards (either "*" or ".") does not change
this outcome.
I thought maybe the underscores were messing it up, so
I tried to grep "5S*" with value = T, and I get a long
list of numbers back
[1] "55" "95" "56" "57" "58" "59" "65"
"75" "85" "105"
[11] "115" "125" "135" "5" "5" "5" "5"
"5" "5" "5"
These numbers make no sense to me. They don't seem to
correlate with where the "5S"'s occur in the
dataframe, and they don't look like any values in the
Probe column (there are no numeric vaules in the Probe
column, just strings of character digit combinations).
How can I select out all the rows with the same
partial character match?
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