Created
February 2, 2017 08:25
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| library(dplyr) | |
| library(tidyr) | |
| iris %>% | |
| as_data_frame(.) %>% | |
| select(matches("Petal")) %>% | |
| summarise_all(.funs = c("01:sum" = "sum", | |
| "02:min" = "min", | |
| "03:q25" = "quantile(., 0.25)", | |
| "04:median" = "median", | |
| "05:q75" = "quantile(., 0.75)", | |
| "06:max" = "max", | |
| "07:mean" = "mean", | |
| "08:sd" = "sd")) %>% | |
| gather(variable, value) %>% | |
| separate(variable, c("var", "stat"), sep = "\\_") %>% | |
| spread(var, value) | |
| # A tibble: 8 × 3 | |
| # stat Petal.Length Petal.Width | |
| # * <chr> <dbl> <dbl> | |
| # 1 01:sum 563.700000 179.9000000 | |
| # 2 02:min 1.000000 0.1000000 | |
| # 3 03:q25 1.600000 0.3000000 | |
| # 4 04:median 4.350000 1.3000000 | |
| # 5 05:q75 5.100000 1.8000000 | |
| # 6 06:max 6.900000 2.5000000 | |
| # 7 07:mean 3.758000 1.1993333 | |
| # 8 08:sd 1.765298 0.7622377 |
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