keep only one row per grouped column based on column value
Suppose I have a data.frame in R
User Hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac
If a user has a mac, I want to keep only the mac row, and if a user does not have a mac keep all of the rows.
My desired output
User Hardware
a mac
b laptop
b tablet
c mac
I have been searching and trying, but unable to find a solution.
r dataframe dplyr
edited Nov 13 '18 at 22:36
mickey
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
add a comment |
Suppose I have a data.frame in R
User Hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac
If a user has a mac, I want to keep only the mac row, and if a user does not have a mac keep all of the rows.
My desired output
User Hardware
a mac
b laptop
b tablet
c mac
I have been searching and trying, but unable to find a solution.
r dataframe dplyr
edited Nov 13 '18 at 22:36
mickey
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
add a comment |
Suppose I have a data.frame in R
User Hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac
If a user has a mac, I want to keep only the mac row, and if a user does not have a mac keep all of the rows.
My desired output
User Hardware
a mac
b laptop
b tablet
c mac
I have been searching and trying, but unable to find a solution.
r dataframe dplyr
edited Nov 13 '18 at 22:36
mickey
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
Suppose I have a data.frame in R
User Hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac
If a user has a mac, I want to keep only the mac row, and if a user does not have a mac keep all of the rows.
My desired output
User Hardware
a mac
b laptop
b tablet
c mac
I have been searching and trying, but unable to find a solution.
r dataframe dplyr
r dataframe dplyr
edited Nov 13 '18 at 22:36
mickey
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
edited Nov 13 '18 at 22:36
mickey
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
edited Nov 13 '18 at 22:36
mickey
1,4302318
edited Nov 13 '18 at 22:36
mickey
1,4302318
edited Nov 13 '18 at 22:36
mickey
1,4302318
1,4302318
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
asked Nov 13 '18 at 22:18
Anindya Sankar DeyAnindya Sankar Dey
488
488
add a comment |
add a comment |
1 Answer
1
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oldest
votes
This removes from df the non-mac rows of users which have macs.
df = read.table(text="User hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac", header = TRUE)
mac_users = as.character(unique(df$User[df$hardware == "mac"]))
df = df[!((df$User %in% mac_users) & (df$hardware != "mac")),]
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
This removes from df the non-mac rows of users which have macs.
df = read.table(text="User hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac", header = TRUE)
mac_users = as.character(unique(df$User[df$hardware == "mac"]))
df = df[!((df$User %in% mac_users) & (df$hardware != "mac")),]
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
add a comment |
This removes from df the non-mac rows of users which have macs.
df = read.table(text="User hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac", header = TRUE)
mac_users = as.character(unique(df$User[df$hardware == "mac"]))
df = df[!((df$User %in% mac_users) & (df$hardware != "mac")),]
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
add a comment |
This removes from df the non-mac rows of users which have macs.
df = read.table(text="User hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac", header = TRUE)
mac_users = as.character(unique(df$User[df$hardware == "mac"]))
df = df[!((df$User %in% mac_users) & (df$hardware != "mac")),]
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
This removes from df the non-mac rows of users which have macs.
df = read.table(text="User hardware
a mac
a tablet
a laptop
b laptop
b tablet
c tablet
c mac", header = TRUE)
mac_users = as.character(unique(df$User[df$hardware == "mac"]))
df = df[!((df$User %in% mac_users) & (df$hardware != "mac")),]
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
answered Nov 13 '18 at 22:25
mickeymickey
1,4302318
1,4302318
add a comment |
add a comment |
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