Extract the maximum value within each group in a dataframe

I have a data frame with a grouping variable ("Gene") and a value variable ("Value"):

Gene   Value
A      12
A      10
B      3
B      5
B      6
C      1
D      3
D      4

For each level of my grouping variable, I wish to extract the maximum value. The result should thus be a data frame with one row per level of the grouping variable:

Gene   Value
A      12
B      6
C      1
D      4

Could aggregate do the trick?

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最佳答案

There are many possibilities to do this in R. Here are some of them:

df <- read.table(header = TRUE, text = 'Gene   Value
A      12
A      10
B      3
B      5
B      6
C      1
D      3
D      4')


# aggregate
aggregate(df$Value, by = list(df$Gene), max)
aggregate(Value ~ Gene, data = df, max)


# tapply
tapply(df$Value, df$Gene, max)


# split + lapply
lapply(split(df, df$Gene), function(y) max(y$Value))


# plyr
require(plyr)
ddply(df, .(Gene), summarise, Value = max(Value))


# dplyr
require(dplyr)
df %>% group_by(Gene) %>% summarise(Value = max(Value))


# data.table
require(data.table)
dt <- data.table(df)
dt[ , max(Value), by = Gene]


# doBy
require(doBy)
summaryBy(Value~Gene, data = df, FUN = max)


# sqldf
require(sqldf)
sqldf("select Gene, max(Value) as Value from df group by Gene", drv = 'SQLite')


# ave
df[as.logical(ave(df$Value, df$Gene, FUN = function(x) x == max(x))),]
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Using sqldf and standard sql to get the maximum values grouped by another variable

https://cran.r-project.org/web/packages/sqldf/sqldf.pdf

library(sqldf)
sqldf("select max(Value),Gene from df1 group by Gene")

or

Using the excellent Hmisc package for a groupby application of function (max) https://www.rdocumentation.org/packages/Hmisc/versions/4.0-3/topics/summarize

library(Hmisc)
summarize(df1$Value,df1$Gene,max)
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df$Gene <- as.factor(df$Gene)
do.call(rbind, lapply(split(df,df$Gene), function(x) {return(x[which.max(x$Value),])}))

Just using base R


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