How do I aggregate certain columns from data frame by a Unique ID?
I have a list of statcast data, per day dating back to 2016. I am attempting to aggregate this data for finding the mean for each pitching ID.
I have the following code:
aggpitch <- aggregate(pitchingstat, by=list(pitchingstat$PitcherID),
FUN=mean, na.rm = TRUE)
This function aggregates every single column. I am looking to only aggregate a certain amount of columns.
How would I include only certain columns?
r aggregate rscript
asked Nov 13 '18 at 1:28
gracergracer
92
add a comment |
I have a list of statcast data, per day dating back to 2016. I am attempting to aggregate this data for finding the mean for each pitching ID.
I have the following code:
aggpitch <- aggregate(pitchingstat, by=list(pitchingstat$PitcherID),
FUN=mean, na.rm = TRUE)
This function aggregates every single column. I am looking to only aggregate a certain amount of columns.
How would I include only certain columns?
r aggregate rscript
asked Nov 13 '18 at 1:28
gracergracer
92
You want to specify a variable to aggregate -aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE). Alternatively, use the formula interfaceaggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE). See this old answer - stackoverflow.com/a/9723314/496803
– thelatemail
Nov 13 '18 at 1:30
add a comment |
I have a list of statcast data, per day dating back to 2016. I am attempting to aggregate this data for finding the mean for each pitching ID.
I have the following code:
aggpitch <- aggregate(pitchingstat, by=list(pitchingstat$PitcherID),
FUN=mean, na.rm = TRUE)
This function aggregates every single column. I am looking to only aggregate a certain amount of columns.
How would I include only certain columns?
r aggregate rscript
asked Nov 13 '18 at 1:28
gracergracer
92
I have a list of statcast data, per day dating back to 2016. I am attempting to aggregate this data for finding the mean for each pitching ID.
I have the following code:
aggpitch <- aggregate(pitchingstat, by=list(pitchingstat$PitcherID),
FUN=mean, na.rm = TRUE)
This function aggregates every single column. I am looking to only aggregate a certain amount of columns.
How would I include only certain columns?
r aggregate rscript
r aggregate rscript
asked Nov 13 '18 at 1:28
gracergracer
92
asked Nov 13 '18 at 1:28
gracergracer
92
asked Nov 13 '18 at 1:28
gracergracer
92
asked Nov 13 '18 at 1:28
gracergracer
92
asked Nov 13 '18 at 1:28
gracergracer
92
92
You want to specify a variable to aggregate -aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE). Alternatively, use the formula interfaceaggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE). See this old answer - stackoverflow.com/a/9723314/496803
– thelatemail
Nov 13 '18 at 1:30
add a comment |
You want to specify a variable to aggregate -aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE). Alternatively, use the formula interfaceaggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE). See this old answer - stackoverflow.com/a/9723314/496803
– thelatemail
Nov 13 '18 at 1:30
You want to specify a variable to aggregate -
aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE) . Alternatively, use the formula interface aggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE) . See this old answer - stackoverflow.com/a/9723314/496803– thelatemail
Nov 13 '18 at 1:30
You want to specify a variable to aggregate -
aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE) . Alternatively, use the formula interface aggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE) . See this old answer - stackoverflow.com/a/9723314/496803– thelatemail
Nov 13 '18 at 1:30
add a comment |
3 Answers
3
active
oldest
votes
If you have more than one column that you'd like to summarize, you can use QAsena's approach and add summarise_at function like so:
pitchingstat %>%
group_by(PitcherID) %>%
summarise_at(vars(col1:coln), mean, na.rm = TRUE)
Check out link below for more examples:
https://dplyr.tidyverse.org/reference/summarise_all.html
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
add a comment |
Replace the first argument (pitchingstat) with the name of the column you want to aggregate (or a vector thereof)
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
add a comment |
How about?:
library(tidyverse)
aggpitch <- pitchingstat %>%
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(variable)) #replace 'variable' with your variable of interest here
or
library(tidyverse)
aggpitch <- pitchingstat %>%
select(var_1, var_2)
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(var_1),
pitcher_mean2 = mean(var_2))
I think this works but could use a dummy example of your data to play with.
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you have more than one column that you'd like to summarize, you can use QAsena's approach and add summarise_at function like so:
pitchingstat %>%
group_by(PitcherID) %>%
summarise_at(vars(col1:coln), mean, na.rm = TRUE)
Check out link below for more examples:
https://dplyr.tidyverse.org/reference/summarise_all.html
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
add a comment |
If you have more than one column that you'd like to summarize, you can use QAsena's approach and add summarise_at function like so:
pitchingstat %>%
group_by(PitcherID) %>%
summarise_at(vars(col1:coln), mean, na.rm = TRUE)
Check out link below for more examples:
https://dplyr.tidyverse.org/reference/summarise_all.html
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
add a comment |
If you have more than one column that you'd like to summarize, you can use QAsena's approach and add summarise_at function like so:
pitchingstat %>%
group_by(PitcherID) %>%
summarise_at(vars(col1:coln), mean, na.rm = TRUE)
Check out link below for more examples:
https://dplyr.tidyverse.org/reference/summarise_all.html
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
If you have more than one column that you'd like to summarize, you can use QAsena's approach and add summarise_at function like so:
pitchingstat %>%
group_by(PitcherID) %>%
summarise_at(vars(col1:coln), mean, na.rm = TRUE)
Check out link below for more examples:
https://dplyr.tidyverse.org/reference/summarise_all.html
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
answered Nov 13 '18 at 5:17
On_an_islandOn_an_island
758
758
add a comment |
add a comment |
Replace the first argument (pitchingstat) with the name of the column you want to aggregate (or a vector thereof)
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
add a comment |
Replace the first argument (pitchingstat) with the name of the column you want to aggregate (or a vector thereof)
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
add a comment |
Replace the first argument (pitchingstat) with the name of the column you want to aggregate (or a vector thereof)
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
Replace the first argument (pitchingstat) with the name of the column you want to aggregate (or a vector thereof)
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
answered Nov 13 '18 at 1:30
12b345b6b7812b345b6b78
782115
782115
add a comment |
add a comment |
How about?:
library(tidyverse)
aggpitch <- pitchingstat %>%
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(variable)) #replace 'variable' with your variable of interest here
or
library(tidyverse)
aggpitch <- pitchingstat %>%
select(var_1, var_2)
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(var_1),
pitcher_mean2 = mean(var_2))
I think this works but could use a dummy example of your data to play with.
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
add a comment |
How about?:
library(tidyverse)
aggpitch <- pitchingstat %>%
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(variable)) #replace 'variable' with your variable of interest here
or
library(tidyverse)
aggpitch <- pitchingstat %>%
select(var_1, var_2)
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(var_1),
pitcher_mean2 = mean(var_2))
I think this works but could use a dummy example of your data to play with.
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
add a comment |
How about?:
library(tidyverse)
aggpitch <- pitchingstat %>%
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(variable)) #replace 'variable' with your variable of interest here
or
library(tidyverse)
aggpitch <- pitchingstat %>%
select(var_1, var_2)
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(var_1),
pitcher_mean2 = mean(var_2))
I think this works but could use a dummy example of your data to play with.
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
How about?:
library(tidyverse)
aggpitch <- pitchingstat %>%
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(variable)) #replace 'variable' with your variable of interest here
or
library(tidyverse)
aggpitch <- pitchingstat %>%
select(var_1, var_2)
group_by(PitcherID) %>%
summarise(pitcher_mean = mean(var_1),
pitcher_mean2 = mean(var_2))
I think this works but could use a dummy example of your data to play with.
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
edited Nov 13 '18 at 4:49
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
answered Nov 13 '18 at 4:43
QAsenaQAsena
404
404
add a comment |
add a comment |
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You want to specify a variable to aggregate -
aggregate(pitchingstat[c("var1","var2")], pitchingstat["PitcherID"], FUN=mean, na.rm=TRUE). Alternatively, use the formula interfaceaggregate(cbind(var1,var2) ~ PitcherID, data=pitchingstat, FUN=mean, na.rm=TRUE). See this old answer - stackoverflow.com/a/9723314/496803– thelatemail
Nov 13 '18 at 1:30