Group (collapse?) rows without summarising to fill in NAs
I have an issue that should be straightforward with dplyr (I think) but I can't seem to find a resolution.
My dataframe comprises numbers and factors. Each observation is represented by two rows which have either a value or NA in one of two columns (Agg_Entropy and Av_Amplitude). I want to combine each observation's rows into a single row (without summarising), so that the NAs are replaced with the relevant values.
A simple excerpt of the dataframe:
Selection Low High Agg_Entropy Av_Amplitude Filename
<fct> <fct> <fct> <dbl> <dbl> <fct>
1 1 368.2 13747.8 NA -17.5 20180110_182800_Sunset.wav
2 1 368.2 13747.8 5.62 NA 20180110_182800_Sunset.wav
3 2 142 13926.3 NA -17.4 20180110_182800_Sunset.wav
4 2 142 13926.3 5.96 NA 20180110_182800_Sunset.wav
What I want:
Selection Low High Agg_Entropy Av_Amplitude Filename
1 1 368.2 13747.8 5.623 -17.5 20180110_182800_Sunset.wav
2 2 142.0 13926.3 5.958 -17.4 20180110_182800_Sunset.wav
Any help is very much appreciated. Thank you!
r group-by dplyr
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
add a comment |
I have an issue that should be straightforward with dplyr (I think) but I can't seem to find a resolution.
My dataframe comprises numbers and factors. Each observation is represented by two rows which have either a value or NA in one of two columns (Agg_Entropy and Av_Amplitude). I want to combine each observation's rows into a single row (without summarising), so that the NAs are replaced with the relevant values.
A simple excerpt of the dataframe:
Selection Low High Agg_Entropy Av_Amplitude Filename
<fct> <fct> <fct> <dbl> <dbl> <fct>
1 1 368.2 13747.8 NA -17.5 20180110_182800_Sunset.wav
2 1 368.2 13747.8 5.62 NA 20180110_182800_Sunset.wav
3 2 142 13926.3 NA -17.4 20180110_182800_Sunset.wav
4 2 142 13926.3 5.96 NA 20180110_182800_Sunset.wav
What I want:
Selection Low High Agg_Entropy Av_Amplitude Filename
1 1 368.2 13747.8 5.623 -17.5 20180110_182800_Sunset.wav
2 2 142.0 13926.3 5.958 -17.4 20180110_182800_Sunset.wav
Any help is very much appreciated. Thank you!
r group-by dplyr
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
add a comment |
I have an issue that should be straightforward with dplyr (I think) but I can't seem to find a resolution.
My dataframe comprises numbers and factors. Each observation is represented by two rows which have either a value or NA in one of two columns (Agg_Entropy and Av_Amplitude). I want to combine each observation's rows into a single row (without summarising), so that the NAs are replaced with the relevant values.
A simple excerpt of the dataframe:
Selection Low High Agg_Entropy Av_Amplitude Filename
<fct> <fct> <fct> <dbl> <dbl> <fct>
1 1 368.2 13747.8 NA -17.5 20180110_182800_Sunset.wav
2 1 368.2 13747.8 5.62 NA 20180110_182800_Sunset.wav
3 2 142 13926.3 NA -17.4 20180110_182800_Sunset.wav
4 2 142 13926.3 5.96 NA 20180110_182800_Sunset.wav
What I want:
Selection Low High Agg_Entropy Av_Amplitude Filename
1 1 368.2 13747.8 5.623 -17.5 20180110_182800_Sunset.wav
2 2 142.0 13926.3 5.958 -17.4 20180110_182800_Sunset.wav
Any help is very much appreciated. Thank you!
r group-by dplyr
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
I have an issue that should be straightforward with dplyr (I think) but I can't seem to find a resolution.
My dataframe comprises numbers and factors. Each observation is represented by two rows which have either a value or NA in one of two columns (Agg_Entropy and Av_Amplitude). I want to combine each observation's rows into a single row (without summarising), so that the NAs are replaced with the relevant values.
A simple excerpt of the dataframe:
Selection Low High Agg_Entropy Av_Amplitude Filename
<fct> <fct> <fct> <dbl> <dbl> <fct>
1 1 368.2 13747.8 NA -17.5 20180110_182800_Sunset.wav
2 1 368.2 13747.8 5.62 NA 20180110_182800_Sunset.wav
3 2 142 13926.3 NA -17.4 20180110_182800_Sunset.wav
4 2 142 13926.3 5.96 NA 20180110_182800_Sunset.wav
What I want:
Selection Low High Agg_Entropy Av_Amplitude Filename
1 1 368.2 13747.8 5.623 -17.5 20180110_182800_Sunset.wav
2 2 142.0 13926.3 5.958 -17.4 20180110_182800_Sunset.wav
Any help is very much appreciated. Thank you!
r group-by dplyr
r group-by dplyr
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
asked Dec 30 '18 at 5:03
Dani TeixeiraDani Teixeira
1
1
add a comment |
add a comment |
1 Answer
1
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votes
After group_by with columns 'Selection', 'Filename', 'Low', and 'High', summarise the other columns by removing the NA elements with na.omit. Here, we assume that there are only one non-NA element per each column for the groups
library(tidyverse)
df1 %>%
group_by(Selection, Filename, Low, High) %>%
summarise_all(na.omit)
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
add a comment |
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1 Answer
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1 Answer
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After group_by with columns 'Selection', 'Filename', 'Low', and 'High', summarise the other columns by removing the NA elements with na.omit. Here, we assume that there are only one non-NA element per each column for the groups
library(tidyverse)
df1 %>%
group_by(Selection, Filename, Low, High) %>%
summarise_all(na.omit)
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
add a comment |
After group_by with columns 'Selection', 'Filename', 'Low', and 'High', summarise the other columns by removing the NA elements with na.omit. Here, we assume that there are only one non-NA element per each column for the groups
library(tidyverse)
df1 %>%
group_by(Selection, Filename, Low, High) %>%
summarise_all(na.omit)
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
add a comment |
After group_by with columns 'Selection', 'Filename', 'Low', and 'High', summarise the other columns by removing the NA elements with na.omit. Here, we assume that there are only one non-NA element per each column for the groups
library(tidyverse)
df1 %>%
group_by(Selection, Filename, Low, High) %>%
summarise_all(na.omit)
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
After group_by with columns 'Selection', 'Filename', 'Low', and 'High', summarise the other columns by removing the NA elements with na.omit. Here, we assume that there are only one non-NA element per each column for the groups
library(tidyverse)
df1 %>%
group_by(Selection, Filename, Low, High) %>%
summarise_all(na.omit)
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
answered Dec 30 '18 at 5:06
akrunakrun
403k13196269
403k13196269
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
add a comment |
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
1
1
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
Thank you! That worked. I knew it had to be simple.
– Dani Teixeira
Jan 4 at 5:37
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
@DaniTeixeira If it works, you can also check here
– akrun
Jan 4 at 5:38
add a comment |
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