Combine rows by group with differing NAs in each row

grouping, r

Solution

Is this what you want ? `zoo`+`dplyr` also check the link here

df %>%
    group_by(groupid) %>%
    mutate_all(funs(na.locf(., na.rm = FALSE, fromLast = FALSE)))%>%filter(row_number()==n())


# A tibble: 1 x 5
# Groups:   groupid [1]
  groupid  col1  col2  col3  col4
    <int> <int> <chr> <int> <int>
1       1     0     n     2     2

EDIT1

without the filter , will give back whole dataframe.

    df %>%
        group_by(groupid) %>%
        mutate_all(funs(na.locf(., na.rm = FALSE, fromLast = FALSE)))

# A tibble: 2 x 5
# Groups:   groupid [1]
  groupid  col1  col2  col3  col4
    <int> <int> <chr> <int> <int>
1       1     0     n    NA     2
2       1     0     n     2     2

`filter` here, just slice the last one, `na.locf` will carry on the previous not `NA` value, which mean the last row in your group is what you want.

Also base on @ thelatemail recommended. you can do the following , give back the same answer.

df %>% group_by(groupid) %>% summarise_all(funs(.[!is.na(.)][1]))

EDIT2

Assuming you have conflict and you want to show them all.

df <- read.table(text="groupid  col1  col2  col3  col4
   1      0     n     NA     2    
                 1      1    NA    2      2",
                 header=TRUE,stringsAsFactors=FALSE)
 df
  groupid col1 col2 col3 col4
1       1    0    n   NA    2
2       1    1(#)<NA>    2    2(#)
df %>%
    group_by(groupid) %>%
    summarise_all(funs(toString(unique(na.omit(.)))))#unique for duplicated like col4
  groupid  col1  col2  col3  col4
    <int> <chr> <chr> <chr> <chr>
1       1  0, 1     n     2   2

Problem

I can't find an exact answer to this problem, so I hope I'm not duplicating a question. I have a dataframe as follows ``` groupid col1 col2 col3 col4 1 0 n NA 2 1 NA NA 2 2 ``` What I'm trying to convey with this is that there are duplicate IDs where the total information is spread across both rows and I want to combine these rows to get all the information into one row. How do I go about this? I've tried to play around with group_by and paste but that ends up making the data messier (getting 22 instead of 2 in col4 for example) and sum() does not work because some columns are strings and those that are not are categorical variables and summing them would change the information. Is there something I can do to collapse the rows and leave consistent data unchanged while filling in NAs? EDIT: Sorry desired output is as follows: ``` groupid col1 col2 col3 col4 1 0 n 2 2 ```

Original source

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