Removing gaps in data frame preserving pairs (R) -

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i have basic question in r can't seem sorted. have dataframe looks this:

                 date      x                        y     1 01/01/2003 00:00     17.04783                na              2 02/01/2003 00:00     14.84500         10.117042                             3 03/01/2003 00:00     12.23636                na               4 04/01/2003 00:00     12.62381                na              5 05/01/2003 00:00           na          4.516619              6 06/01/2003 00:00     12.93333                na

i'm interested in cases there both x value , y value, i.e. in above data im interested in row 2.

how create new data frame cases i'm interested in? need preserve date structure too, ideal data this:

        date               x                        y     1 01/01/2003 00:00     na                      na              2 02/01/2003 00:00     14.84500         10.117042                             3 03/01/2003 00:00     na                      na               4 04/01/2003 00:00     na                      na              5 05/01/2003 00:00     na                      na     6 06/01/2003 00:00     na                      na

thanks!

pick out rows want keep values complete.cases(); set date in other rows na.

print(df) #         date    result   result2 #1  2015-01-03 0.4179292        na #2  2015-01-05 0.5830931        na #3  2015-01-09 0.9207914 0.3846393 #4  2015-01-13        na 0.4652525 #5  2015-01-17 0.1167908 0.6160894 #6  2015-01-23 0.7866672 0.8541210 #7  2015-01-27 0.8721665 0.8580503 #8  2015-01-29        na        na #9  2015-02-01        na 0.4687221 #10 2015-02-06        na 0.2769060 #11 2015-02-11 0.6086726 0.3619493 #12 2015-02-17 0.7421181        na  df[!complete.cases(df), -1] <- na print(df) #         date    result   result2 #1  2015-01-03        na        na #2  2015-01-05        na        na #3  2015-01-09 0.9207914 0.3846393 #4  2015-01-13        na        na #5  2015-01-17 0.1167908 0.6160894 #6  2015-01-23 0.7866672 0.8541210 #7  2015-01-27 0.8721665 0.8580503 #8  2015-01-29        na        na #9  2015-02-01        na        na #10 2015-02-06        na        na #11 2015-02-11 0.6086726 0.3619493 #12 2015-02-17        na        na

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