Displaying 4 results from an estimated 4 matches for "bcpy01".
2009 Apr 09
2
failed when merging two dataframes, why
Hi, R-listers,
Failed, when I tried to merge df1 and df2 by "codetot" in df1 and "codetoto"
in df2. I want to know the reason and how to merge them together. Data
frames and codes I have used were listed as followed. Thanks a lot in
advance.
df1:
popcode codetot p3need
BCPy01-01 BCPy01-01-1 100.0000
BCPy01-01 BCPy01-01-2 100.0000
BCPy01-01 BCPy01-01-3 100.0000
BCPy01-02 BCPy01-02-1 92.5926
BCPy01-02 BCPy01-02-1 100.0000
BCPy01-02 BCPy01-02-2 92.5926
BCPy01-02 BCPy01-02-2 100.0000
BCPy01-02 BCPy01-02-3 92.5926
BCPy01-02 BCPy01-02-3 100.0000
BCPy01-03 BCPy01-03-1 100.0...
2009 Apr 10
4
split a character variable into several character variable by a character
Dear Mao Jianfeng,
"r-help-owner" is not the place for help, but:
r-help at r-project.org
(CC-ed here)
In any case, strsplit() does the job, i.e.:
> unlist(strsplit("BCPy01-01", "-"))
[1] "BCPy01" "01"
You can work with the whole variable, like:
splitpop <- strsplit(df1$popcode, "-")
then access the first part with
> unlist(lapply(splitpop, "[", 1))
[1] "BCPy01" "BCPy01" "BCPy01&q...
2009 Jun 16
4
confusion on levels() function, and how to assign a wanted order to factor levels, intentionally?
...41 64 2.805556 36
15 Py GSPy02 6.70 130 56 67 1.757576 33
16 Py GSPy02 6.60 115 47 78 1.603175 63
17 Py GSPy02 8.90 137 61 102 1.767677 99
18 Py GSPy02 6.20 157 68 115 1.459016 61
19 Py BCPy01 5.30 91 39 24 1.263158 19
20 Py BCPy01 6.10 100 46 53 1.117647 17
21 Py BCPy01 4.50 81 32 46 1.320000 25
22 Py LJPy01 6.60 170 65 72 2.035714 56
23 Py LJPy01 6.90 104 46 58 1.800000 55
2...
2009 Jun 15
1
How to do automatical-plotting
...Py02 6.2 111 41 64 2.805555556 36
Py GSPy02 6.7 130 56 67 1.757575758 33
Py GSPy02 6.6 115 47 78 1.603174603 63
Py GSPy02 8.9 137 61 102 1.767676768 99
Py GSPy02 6.2 157 68 115 1.459016393 61
Py BCPy01 5.3 91 39 24 1.263157895 19
Py BCPy01 6.1 100 46 53 1.117647059 17
Py BCPy01 4.5 81 32 46 1.32 25
Py LJPy01 6.6 170 65 72 2.035714286 56
Py LJPy01 6.9 104 46 58 1.8 55
Py LJPy01 8.6 161...