Comparing cell values within rows of a Data.Frame - Puzzeling Output

user_8621123 0
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I have a Data.Frame I joined using full_join() from dplyr. It looks like this:

View(df1)

Gene Pval   Pval2
ZIC3 0.4123 0.4124
GLA  *NA*   0.135
AFF2 0.003  *NA*
...  ...    ...

I want to pull all the Genes where Pval != Pval2 so I used

DF2 <- DF1[DF1$Pval != DF1$Pval2, ]

This has pulled out mismatching records (294) but DF2 also contains 38 additional rows that are all NA despite the fact that DF1 does not contain any full NA rows. (332 total)

Similarly, if I do

DF3 <- DF1[DF1$Pval == DF1$Pval2, ]

DF3 has 37 NA rows. (13,711 non empty, for 13,748 total)

DF1, the original, has 14042 rows.

The question is, I do not understand where these empty rows are coming from and why the numbers in DF2, DF3 do not add up to DF1......

dplyr dataframe r
1 Answers

We can also include a condition with is.na

 DF1[(DF1$Pval != DF1$Pval2) | (is.na(DF1$Pval) |is.na(DF1$Pval2)), ]

One issue that could result is when we do the comparison on floating points as the precision can be different and results in unexpected output. It may be better to round and compare

DF1[(round(DF1$Pval, 2) != round(DF1$Pval2, 2)) | 
         (is.na(DF1$Pval) | is.na(DF1$Pval2)), ]
user_37322710
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