Variable with two attributes from different data frames need to be plotted in R
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I have 2 data frames D1 and D2,
D1 looks like this:
A B C D E
1 NA x x x x
2 x NA x NA x
3 NA NA NA x NA
4 x x NA x NA
.
.
100 x x NA x x
D2 looks like this:
a b c d e
1 NA x x x NA
2 x x x NA x
3 NA NA x x NA
4 x x NA x x
.
.
100 x x NA x x
The 1 2 3 represent names, and the ABC represent 'significance' and abc represent 'membership'.
( I already did this step) I need to first filter out the NA's from a particular significance column say B, so I get:
B
1 x
4 x
.
.
1000 x
So I saved that as a data frame.
Now, I need get the values from columns a b c d... for the numbers that were x in B (so 1,4...1000 in this case).
So finally I need something that looks like this:
a b c d e
1 NA x x x NA
4 x x NA x x
.
.
1000 x x NA x x
And if I needed to, from this final form, how would I remove all the rows that contain an na in it? In this case we would lose 1,4 and 1000 but say (4,c) was not NA, how would I only keep that?
Thank you
r
add a comment |
I have 2 data frames D1 and D2,
D1 looks like this:
A B C D E
1 NA x x x x
2 x NA x NA x
3 NA NA NA x NA
4 x x NA x NA
.
.
100 x x NA x x
D2 looks like this:
a b c d e
1 NA x x x NA
2 x x x NA x
3 NA NA x x NA
4 x x NA x x
.
.
100 x x NA x x
The 1 2 3 represent names, and the ABC represent 'significance' and abc represent 'membership'.
( I already did this step) I need to first filter out the NA's from a particular significance column say B, so I get:
B
1 x
4 x
.
.
1000 x
So I saved that as a data frame.
Now, I need get the values from columns a b c d... for the numbers that were x in B (so 1,4...1000 in this case).
So finally I need something that looks like this:
a b c d e
1 NA x x x NA
4 x x NA x x
.
.
1000 x x NA x x
And if I needed to, from this final form, how would I remove all the rows that contain an na in it? In this case we would lose 1,4 and 1000 but say (4,c) was not NA, how would I only keep that?
Thank you
r
add a comment |
I have 2 data frames D1 and D2,
D1 looks like this:
A B C D E
1 NA x x x x
2 x NA x NA x
3 NA NA NA x NA
4 x x NA x NA
.
.
100 x x NA x x
D2 looks like this:
a b c d e
1 NA x x x NA
2 x x x NA x
3 NA NA x x NA
4 x x NA x x
.
.
100 x x NA x x
The 1 2 3 represent names, and the ABC represent 'significance' and abc represent 'membership'.
( I already did this step) I need to first filter out the NA's from a particular significance column say B, so I get:
B
1 x
4 x
.
.
1000 x
So I saved that as a data frame.
Now, I need get the values from columns a b c d... for the numbers that were x in B (so 1,4...1000 in this case).
So finally I need something that looks like this:
a b c d e
1 NA x x x NA
4 x x NA x x
.
.
1000 x x NA x x
And if I needed to, from this final form, how would I remove all the rows that contain an na in it? In this case we would lose 1,4 and 1000 but say (4,c) was not NA, how would I only keep that?
Thank you
r
I have 2 data frames D1 and D2,
D1 looks like this:
A B C D E
1 NA x x x x
2 x NA x NA x
3 NA NA NA x NA
4 x x NA x NA
.
.
100 x x NA x x
D2 looks like this:
a b c d e
1 NA x x x NA
2 x x x NA x
3 NA NA x x NA
4 x x NA x x
.
.
100 x x NA x x
The 1 2 3 represent names, and the ABC represent 'significance' and abc represent 'membership'.
( I already did this step) I need to first filter out the NA's from a particular significance column say B, so I get:
B
1 x
4 x
.
.
1000 x
So I saved that as a data frame.
Now, I need get the values from columns a b c d... for the numbers that were x in B (so 1,4...1000 in this case).
So finally I need something that looks like this:
a b c d e
1 NA x x x NA
4 x x NA x x
.
.
1000 x x NA x x
And if I needed to, from this final form, how would I remove all the rows that contain an na in it? In this case we would lose 1,4 and 1000 but say (4,c) was not NA, how would I only keep that?
Thank you
r
r
asked Nov 24 '18 at 0:00
Kushal MohnotKushal Mohnot
12
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