tibble | A modern re-imagining of the data frame | Data Visualization library
kandi X-RAY | tibble Summary
kandi X-RAY | tibble Summary
A tibble, or tbl_df, is a modern reimagining of the data.frame, keeping what time has proven to be effective, and throwing out what is not. Tibbles are data.frames that are lazy and surly: they do less (i.e. they don’t change variable names or types, and don’t do partial matching) and complain more (e.g. when a variable does not exist). This forces you to confront problems earlier, typically leading to cleaner, more expressive code. Tibbles also have an enhanced print() method which makes them easier to use with large datasets containing complex objects. If you are new to tibbles, the best place to start is the tibbles chapter in R for data science.
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QUESTION
So, if I had a data table like this:
...ANSWER
Answered 2021-Jun-15 at 23:07One solution is to use tidyverse functions group_by()
and summarise()
:
QUESTION
I am using a method to remove univariate outliers. This method only works if the vector contains outliers.
How is it possible to generalize this method to work also with vectors without outliers. I tried with ifelse
without success.
ANSWER
Answered 2021-Jun-15 at 19:58Negate (!
) instead of using -
which would work even when there are no outliers
QUESTION
A typical way to use group_by
and then nest
is to estimate a series of models--
ANSWER
Answered 2021-Jun-15 at 19:23We can add ungroup
in between as the nest_by
returns with rowwise
attribute which clashes with the map
QUESTION
I am trying to create scatter plots of all the combinations for the columns: insulin
, sspg
, glucose
(mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.
And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.
When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer
to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.
I assume that there will be an iwalk()
or map2()
function at the end and that I might have to use group_by()
and nest()
and maybe combn(., m=2)
for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.
My attempts have amounted to this:
...ANSWER
Answered 2021-Jun-15 at 17:34library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
QUESTION
I'm close but don't have the syntax correct. I'm trying to select all columns of a data table based on selection of unique combinations of two variables (columns) based on the maximum value of a third. MWE of progress thus far. Thx. J
...ANSWER
Answered 2021-Jun-15 at 16:25We can add an arrange
statement before the distinct
QUESTION
I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.
If I use corte2()
instead of eval(paste0("corte",2))
on the observerEvent
the app runs properly. The problem is that I want to use the paste0()
because the integer "2" in eval(paste0("corte",2))
will be an argument of a function (function(data,n)
) so I can easily generate corte1
, corte2
and so on.
When I run it using eval(paste0("corte",2))
I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe()
to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily
" error and the SelectInput choices will be empty. I also tried [[
instead, but nothing.
Any ideas on how to solve the problem?
...ANSWER
Answered 2021-Jun-15 at 15:12You can try this code -
QUESTION
I'm trying to make custom valueboxes in R Shiny. I've discovered how to change the color of the background, but something is making my value boxes stubby and leaving large gaps in between them. I'd like to display 3 on a line ideally, but even with a width of 4, they appear squished. How can I get them to have more of the red with just a small gap of white in between.
...ANSWER
Answered 2021-Jun-14 at 20:40Insert the outputs in a fluidRow
; they will be placed better in the bootstrapp grid:
QUESTION
So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task.
After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom
and readr
is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex
showing the behavior cause I feel that this is out of my ballpark.
ANSWER
Answered 2021-Jun-15 at 14:37This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df
class, which does not really do much.
vroom
does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.
With vroom:
QUESTION
I have sentences from spoken conversation and would like to identify the words that are repeated fom sentence to sentence; here's some illustartive data (in reproducible format below)
...ANSWER
Answered 2021-Jun-14 at 16:37Depending on whether it is sufficient to identify repeated words, or also their repeat frequencies, you might want to modify the function, but here is one approach using the dplyr::lead
function:
QUESTION
I would like to run two different functions over the same loop and save the results with a specific name df.rescale01
and df.rescale.02
. many thanks in advance.
ANSWER
Answered 2021-Jun-15 at 08:22You could store both the functions and results in separate lists like this
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