tidyverse

I am looking for a way to, within id groups, count unique occurrences of value shifts in TF in the data data tbl . I want to count both forward and backwards from when TF changes between 1 and 0 or o and 1 . The counting is to be stored in a new variable PM## , so that the PM## s holds each unique shift in TF , in both plus and minus. The MWE below leads to an outcome with 7 PM, but my production data can have 15 or more shifts. If a TF values does not change between NA 's I want to mark it 0 . This question is similar to a question I previously asked , but the last part about TF standing

I am looking for a tidyverse -solution that can count occurrences of unique values of TF within groups, id in the data data tbl . When TF changes I want to count both forward and backwards from that point. This counting should be stored in a new variable PM## , so that PM## holds both plus and minus to each unique shift in TF . This question is similar to a question I previously asked , but here I am specifically looking for a solution using tidyverse tools. Uwe provided an elegant answer to the inital question using data.table here . If this question violates any SO policies please let me

Hi I usually use some code like the following to reorder bars in ggplot or other types of plots. Normal plot (unordered) library(tidyverse) iris.tr <-iris %>% group_by(Species) %>% mutate(mSW = mean(Sepal.Width)) %>% select(mSW,Species) %>% distinct() ggplot(iris.tr,aes(x = Species,y = mSW, color = Species)) + geom_point(stat = "identity") Ordering the factor + ordered plot iris.tr$Species <- factor(iris.tr$Species, levels = iris.tr[order(iris.tr$mSW),]$Species, ordered = TRUE) ggplot(iris.tr,aes(x = Species,y = mSW, color = Species)) + geom_point(stat = "identity") The factor line is

I'm running Ubuntu 16.04 [now 17.04: see note in bold below] and R 3.4.1. I installed the latter this morning, so I presume it's the latest version. I want to install Tidyverse, which I've spent many happy hours with under Windows. But when I do install.packages("tidyverse") , I get errors about unrecognized command line options to gcc. These start when the install hits the colorspace and munsell packages. I'll show an example at the end of this post, just for munsell. I've not found anyone else who had exactly that problem on Ubuntu 16.04. But posts from people with similar problems suggest

When I use group_by and summarise in dplyr, I can naturally apply different summary functions to different variables. For instance: library(tidyverse) df <- tribble( ~category, ~x, ~y, ~z, #---------------------- 'a', 4, 6, 8, 'a', 7, 3, 0, 'a', 7, 9, 0, 'b', 2, 8, 8, 'b', 5, 1, 8, 'b', 8, 0, 1, 'c', 2, 1, 1, 'c', 3, 8, 0, 'c', 1, 9, 1 ) df %>% group_by(category) %>% summarize( x=mean(x), y=median(y), z=first(z) ) results in output: # A tibble: 3 x 4 category x y z <chr> <dbl> <dbl> <dbl> 1 a 6 6 8 2 b 5 1 8 3 c 2 8 1 My question is, how would I do this with summarise_at? Obviously for this

I am trying to make a switch to the "new" tidyverse ecosystem and try to avoid loading the old packages from Wickham et al. I used to rely my coding previously. I found round_any function from plyr useful in many cases where I needed custom rounding for plots, tables, etc. E.g. x <- c(1.1, 1.0, 0.99, 0.1, 0.01, 0.001) library(plyr) round_any(x, 0.1, floor) # [1] 1.1 1.0 0.9 0.1 0.0 0.0 Is there an equivalent for round_any function from plyr package in tidyverse ? ggplot::cut_width as pointed to in one of the comments, does not even return a numeric vector, but a factor instead. So it is no