1 Conditional sums for data frame rows using dplyr 3 conditional summation in dplyr 2 Summing rows on certain conditions in R 2 Conditionally, sum column based on two other column values 2 Sum across rows but only the cells that meet a condition 0 Conditional rowwise sum of s...
but I kept getting Inf values. However, the combo takes too much time to compute, where I have 1.5m rows and 500 dummy variables to summarize.
Group_By和Sum()是关系型数据库中常用的两个操作,用于对数据进行分组和求和运算。 Group_By是一种分组操作,它根据指定的列或表达式将数据分成多个组。分组后,可以对每个组进行聚合操作,...
mutate(across(-c(Player, Mins_Per_90, SCA90_SCA), ~ . / Mins_Per_90)) glimpse(df2) ## Rows: 20 ## Columns: 10 ## $ Player <chr> "Dimitri Payet", "Lorenzo Pellegrini", "Hakan Çalhanoglu"~ ## $ Mins_Per_90 <dbl> 15.4, 13.8, 12.7, 9.2, 12.2, 9.2, 10.3,...
或许是这样的？
EDIT 1: Summary of benchmarks of the suggested solutions on real dataset (10MB, 73000 rows, stats made on 24 numeric columns). The benchmark results is subjective. However, the elapsed time is consistently reproducible. | Solution By | Speed compared to dplyr | |---|---| | Metrics v...
When I try the following from the dplyr-package: df %>% group_by(id) tally() The result are the unique id-rows that I want but I cant´t add the other columns in this dataframe. I tried "add_tally(1)" but it didn´t work. ...