quartet %>%
group_by(set) %>%
summarise(
mean_x = mean(x),
sd_x = sd(x),
mean_y = mean(y),
sd_y = sd(y),
cor_xy = cor(x, y)
)
This is showing error "summarise not found". Have installed both dplyr and tidyverse, still same error.
Welcome! I'm afraid that snippet alone is not quite enough to help you with that issue, your code does work as long as you have loaded dplyr and provide suitable input data :
library(dplyr)
(quartet <- tibble(set = rep(c("A", "B"), each = 5), x = rnorm(10), y = rnorm(10)))
#> # A tibble: 10 × 3
#> set x y
#> <chr> <dbl> <dbl>
#> 1 A -0.654 -0.00835
#> 2 A 0.0524 0.817
#> 3 A 0.0544 -1.22
#> 4 A 0.255 0.315
#> 5 A -0.358 -0.0959
#> 6 B -0.360 -0.0853
#> 7 B 1.65 0.132
#> 8 B 2.34 0.243
#> 9 B 0.0572 -0.278
#> 10 B 0.634 -1.87
quartet %>%
group_by(set) %>%
summarise(
mean_x = mean(x),
sd_x = sd(x),
mean_y = mean(y),
sd_y = sd(y),
cor_xy = cor(x, y)
)
#> # A tibble: 2 × 6
#> set mean_x sd_x mean_y sd_y cor_xy
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 A -0.130 0.368 -0.0390 0.752 0.0641
#> 2 B 0.863 1.12 -0.372 0.862 0.316
Please try to make this issue of yours reproducible for others by including libarary() calls and ideally a small toy dataset so your included code would fail with that exact error. Also please include errors and warnings as-is.
It sounds like you installed the package but didn't load it. Installing a package brings it from the internet to your computer but loading it, using the library function, brings it into your session. So add library(tidyverse) to your code.
Thank you so much! It worked 