magrittr | Improve the readability of R code with the pipe
kandi X-RAY | magrittr Summary
kandi X-RAY | magrittr Summary
The magrittr package offers a set of operators which make your code more readable by:.
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Trending Discussions on magrittr
QUESTION
I have a several lm
objects that I would like to loop into broom::tidy
using purrr::map
. Is this possible to do?
ANSWER
Answered 2022-Apr-10 at 20:47You need to keep your models in a list (list()
), not in a vector (c()
):
QUESTION
I have a data frame containing dates and associated values for three groups as follows.
...ANSWER
Answered 2022-Mar-29 at 21:25We can access the name of the current group(s) by using cur_group()
. This gives us a tibble with every group being a column containing the current group name, so we need to subset it with $group
.
QUESTION
ANSWER
Answered 2022-Mar-28 at 17:59The 2.0 release of plotly.js dropped d3 as a bundled dependency, so you'll need to bring that in separately now:
QUESTION
I am a beginner in R and I am trying to solve a problem in R, which is I guess quite easy for experienced users.
The problem is the following: Customers (A, B, C) are coming in repeatedly using different programms (Prg). I would like to identify "typical sequences" of programs. Therefore, I identify the first programm, they consume, the second, and the third. In a next step, I would like to combine these information to sequences of programms by customer. For a customer first consuming Prg1, then Prg2, then Prg3, the final outcome should be "Prg1-Prg2-Prg3".
The code below produces a dataframe similar to the one I have. Prg is the Programm in the respective year, First is the first year the customer enters, Sec the second and Third the third.
The code produces columns that extract the program consumed in the first contract (Code_1_Prg), second contract (Code_2_Prg) and third contract (Code_3_Prg).
Unfortunately, I am not successful combining these 3 columns to the required goal. I tried to group by ID and save the frist element of the sequence in a new column called "chain1". Here I get the error message "Error in df %>% group_by(ID) %>% df$chain1 = df[df$Code_1_Prg != "NA", : could not find function "%>%<-", even though I am using the magrittr and dplyr packages.
...ANSWER
Answered 2022-Mar-22 at 11:08Are you looking for something like this?
QUESTION
The knitr::kable
with the latex
format option produces a tabular environment.
For example,
ANSWER
Answered 2022-Feb-15 at 20:20If you use \centering
, you'll avoid the extra vertical spacing from the center
environment:
QUESTION
I am hoping to find a data.table
+ lubridate
solution to the following problem.
Suppose that I have the following dataset:
...ANSWER
Answered 2022-Feb-14 at 14:31# expand the rows
sample = sample[sample[, .(date = seq(as.IDate(start),as.IDate(end),1)), by=var], on="var"]
# fix the times
sample[, `:=`(
start = fifelse(as.IDate(start) == date,
ymd_hms(paste0(as.Date(start),as.ITime(start))),
ymd_hms(paste0(date,"00:00:00"))),
end = fifelse(as.IDate(end) == date,
ymd_hms(paste0(as.Date(end),as.ITime(end))),
ymd_hms(paste0(date, "23:59:59"))),
date = NULL
)]
QUESTION
Recently I have found the %$%
pipe operator, but I am missing the point regarding its difference with %>%
and if it could completely replace it.
%$%
- The operator
%$%
could replace%>%
in many cases:
ANSWER
Answered 2022-Feb-08 at 23:14In addition to the provided comments:
%$% also called the Exposition pipe vs. %>%:
This is a short summary of this article https://towardsdatascience.com/3-lesser-known-pipe-operators-in-tidyverse-111d3411803a
"The key difference in using %$% or %>% lies in the type of arguments of used functions."
One advantage, and as far as I can understand it, for me the only one to use %$%
over %>%
is the fact that
we can avoid repetitive input of the dataframe name in functions that have no data as an argument.
For example the lm()
has a data argument. In this case we can use both %>%
and %$%
interchangeable.
But in functions like the cor()
which has no data argument:
QUESTION
So I have the following data. In this dataframe I have a username, date, and a list of packages. My goal is to transform that column packages
into a format I can analyze.
ANSWER
Answered 2022-Feb-07 at 22:31A solution, based on tidyr::separate
:
QUESTION
I've built this new ggplot2
geom layer I'm calling geom_triangles
(see https://github.com/ctesta01/ggtriangles/) that plots isosceles triangles given aesthetics including x, y, z
where z
is the height of the triangle and
the base of the isosceles triangle has midpoint (x,y) on the graph.
What I want is for the geom_triangles()
layer to automatically provide legend components for the height and width of the triangles, but I am not sure how to do that.
I understand based on this reference that I may need to adjust the draw_key
argument in the ggproto
StatTriangles
object, but I'm not sure how I would do that and can't seem to find examples online of how to do it. I've been looking at the source code in ggplot2
for the draw_key
functions, but I'm not sure how I would introduce multiple legend components (one for each of height and width) in a single draw_key
argument in the StatTriangles
ggproto
.
ANSWER
Answered 2022-Jan-30 at 18:08I think you might be slightly overcomplicating things. Ideally, you'd just want a single key drawing method for the whole layer. However, because you're using a Stat
to do the majority of calculations, this becomes hairy to implement. In my answer, I'm avoiding this.
Let's say I'd want to use a geom-only implementation of such a layer. I can make the following (simplified) class/constructor pair. Below, I haven't bothered width_scale
or height_scale
parameters, just for simplicity.
QUESTION
I want to add a new column based on a given character vector.
For example, in the example below, I want to add column d
defined in expr
:
ANSWER
Answered 2022-Jan-23 at 13:30To get the desired name for the mutated column, you can still use the same syntax and assign the results to a column with the preferred name. To get this name you can use a regular expression to find what is before =
and then remove any leading or trailing spaces that might exist.
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