summarize

来源： https://stackoverflow.com/questions/27850054/count-occurrences-of-a-string-by-row-in-a-large-data-frame

来源： https://stackoverflow.com/questions/27850054/count-occurrences-of-a-string-by-row-in-a-large-data-frame

来源： https://stackoverflow.com/questions/41109403/r-dplyr-summarise-multiple-functions-to-selected-variables

来源： https://stackoverflow.com/questions/41109403/r-dplyr-summarise-multiple-functions-to-selected-variables

来源： https://stackoverflow.com/questions/41109403/r-dplyr-summarise-multiple-functions-to-selected-variables

问题 I started getting a new message (see post title) when running group_by and summarise() after updating to dplyr development version 0.8.99.9003. Here is an example to recreate the output: library(tidyverse) library(hablar) df <- read_csv("year, week, rat_house_females, rat_house_males, mouse_wild_females, mouse_wild_males 2018,10,1,1,1,1 2018,10,1,1,1,1 2018,11,2,2,2,2 2018,11,2,2,2,2 2019,10,3,3,3,3 2019,10,3,3,3,3 2019,11,4,4,4,4 2019,11,4,4,4,4") %>% convert(chr(year,week)) %>% mutate(total

问题 I started getting a new message (see post title) when running group_by and summarise() after updating to dplyr development version 0.8.99.9003. Here is an example to recreate the output: library(tidyverse) library(hablar) df <- read_csv("year, week, rat_house_females, rat_house_males, mouse_wild_females, mouse_wild_males 2018,10,1,1,1,1 2018,10,1,1,1,1 2018,11,2,2,2,2 2018,11,2,2,2,2 2019,10,3,3,3,3 2019,10,3,3,3,3 2019,11,4,4,4,4 2019,11,4,4,4,4") %>% convert(chr(year,week)) %>% mutate(total

问题 I have a data frame like the following: Date Flare Painmed_Use 1 2015-12-01 0 0 2 2015-12-02 0 0 3 2015-12-03 0 0 4 2015-12-04 0 0 5 2015-12-05 0 0 6 2015-12-06 0 1 7 2015-12-07 1 4 8 2015-12-08 1 3 9 2015-12-09 1 1 10 2015-12-10 1 0 11 2015-12-11 0 0 12 2015-12-12 0 0 13 2015-12-13 1 2 14 2015-12-14 1 3 15 2015-12-15 1 1 16 2015-12-16 0 0 I'm trying to find the length of each flare as well as the total med use during each flare using dplyr. My current solution (inspired by Use rle to group

问题 Please Help!! I have the following dataframe (named Final_APOL1). I need to generate a summary table like the second dataframe shown. Once generated is it possible to save this as a separate output csv that will be saved to the same directory? The summary table runs through the risk allele count variables and places them into categories so population frequencies can be calculated for each mutation. Code for risk allele numbers 1, 2 or no "no APOL1 Risk Alleles" = ifelse(`Final genotype of

问题 Building on this question: Summarize with conditions in dplyr I would like to use dplyr to summarize a column based on a mathematical condition (not string matching as in the linked post). I need to find the maximum measurement when the ratio of measurement / time is the highest, while creating a new column ratio . I'd also like to carry through the entire row, which I'm unsure how to do with dplyr 's summarize function. Example Data Frame print(df) sample type time measurement 1 a bacteria