stringr | A fresh approach to string manipulation in R
kandi X-RAY | stringr Summary
kandi X-RAY | stringr Summary
Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparation tasks. The stringr package provide a cohesive set of functions designed to make working with strings as easy as possible. If you’re not familiar with strings, the best place to start is the chapter on strings in R for Data Science. stringr is built on top of stringi, which uses the ICU C library to provide fast, correct implementations of common string manipulations. stringr focusses on the most important and commonly used string manipulation functions whereas stringi provides a comprehensive set covering almost anything you can imagine. If you find that stringr is missing a function that you need, try looking in stringi. Both packages share similar conventions, so once you’ve mastered stringr, you should find stringi similarly easy to use.
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QUESTION
I'm interested in adding grouping labels above my ggplot bar charts. This feature exists for data visualizations such as phylogenetic trees (in ggtree), but I haven't found a way to do it in ggplot.
I've tried toying around with geom_text, and geom_label, but I haven't had success yet. Perhaps there's another package that enables this functionality? I've attached some example code that should be fully reproducible. I'd like the rating variable to go over the bars of the continents listed (spanning multiple continents).
Any help is greatly appreciated! Thank you!
P.S. pardon all the comments - I was writing a teaching tutorial.
...ANSWER
Answered 2022-Mar-29 at 18:32One approach to achieve your desired result would be via geom_segment
. To this end I first prepare a dataset containing the start and end positions of the segments to be put on top of the bars by rating group. Basically this involves converting the discrete locations to numerics.
Afterwards it's pretty straightforward to add the segments and the labels.
QUESTION
I am trying to use the R str_match function from the stringr library to extract the title in bibliographical entries like the following. Indeed, I need to extract the text between the
"title={" and the "},"
strings.
a2
[1] "@article{2020, title={Long noncoding RNA MEG3 decreases the growth of head and neck squamous cell carcinoma by regulating the expression of miR‐421 and E‐cadherin}, volume={9}, ISSN={2045-7634}, url={http://dx.doi.org/10.1002/cam4.3002}, DOI={10.1002/cam4.3002}, number={11}, journal={Cancer Medicine}, publisher={Wiley}, author={Ji, Yefeng and Feng, Guanying and Hou, Yunwen and Yu, Yang and Wang, Ruixia and Yuan, Hua}, year={2020}, month={Apr}, pages={3954–3963} }"
I have used approaches like the following, but I get an error message:
...ANSWER
Answered 2022-Mar-19 at 09:23Use the following regex.
QUESTION
I am trying to detect whether a string starts with either of the provided strings (separated by | )
...ANSWER
Answered 2022-Mar-10 at 14:55I'm not familiar with the stringr version, but the base R version startsWith
returns your desired result. If you don't have to use stringr, this may be a solution:
QUESTION
Note I have already read Split string at first occurrence of an integer in a string however my request is different because I would like to use R.
Suppose I have the following example data frame:
...ANSWER
Answered 2022-Feb-09 at 09:40You can use tidyr::extract
:
QUESTION
I have created a dataframe with a group column and an individual identifier which incorporates the group name and a number formatted to a standardised three digit code:
...ANSWER
Answered 2021-Dec-24 at 18:56We may group by 'group', use substr
to extract the first character from 'indiv' and use sprintf
to format the sequence (row_number()
)
QUESTION
There is a problem that I do not know how to solve.
You need to write a function that returns all words from a string that contain repeated letters and the maximum number of their repetitions in a word.
Visually, this stage can be viewed with the following example:
"hello good home aboba"
after processing should be hello good
, and the maximum number of repetitions of a character in a given string = 2
.
The code I wrote from tries to find duplicate characters and based on this, extract words from a separate array, but something doesn't work. Help solve the problem.
...ANSWER
Answered 2021-Dec-03 at 11:01text = "hello good home aboba"
paste0(
grep("(.)\\1{1,}",
unlist(strsplit(text, " ")),
value = TRUE),
collapse = " ")
[1] "hello good"
QUESTION
The code below reads a CSV file and displays the Datatable in the Main panel. The field in 'Column to search' is automatically detected. I've created a field named 'Replace' and a field called 'by' that can be used to replace certain values in a column's cell.
I want to highlight that cell in any colour, preferably orange, wherever the values are replaced.
Could someone please explain how I can do this in R shiny?
CSV
...ANSWER
Answered 2021-Dec-02 at 10:27I used the parameter selection
from renderDT()
. After changing my_data()
, you can compare which positions were changed in relation with dat
(where you stored the unchanged data.frame) and then pass them as coordinates to the selection
parameter
QUESTION
I have a dataset with people's complete age as strings (e.g., "10 years 8 months 23 days) in R, and I need to transform it into a numeric variable that makes sense. I'm thinking about converting it to how many days of age the person has (which is hard because months have different amounts of days). So the best solution might be creating a double variable that would show age as 10.6 or 10.8, some numeric variable that carries the information that 10years 8month 5days is greater than 10years 7month 12days.
Here is an example of the current variable I have
...ANSWER
Answered 2021-Dec-01 at 21:26Split on space, then compute. Note, you might want to change the average days in a year, in a month as needed:
QUESTION
I'm struggling to strip down comma-separated strings to unique substrings in a cleanly fashion:
...ANSWER
Answered 2021-Nov-17 at 19:26You can use str_split
to get the individual substrings, followed by unique
to remove repeated strings. For example:
QUESTION
I have a strings that look like this:
...ANSWER
Answered 2021-Oct-08 at 18:51We could use regular expressions with a lookahead assertion Regex lookahead, lookbehind and atomic groups.
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