This is only one usecase of theVectorize()function. It can come in handy whenever you need to vectorize a non-vectorized function. For example, it seems that thenrow()function is not vectorized, because if I try to create a list with two dataframes in it and get the number of rows, ...
How to Scale Only Numeric Columns in R, To scale only the numeric columns in a data frame in R, use the dplyr package’s following syntax.Best Books to learn Tensorflow – Data Science Tutorialslibrary(dplyr) df %>% mutate(across(where(is.numeric), scale))...
For importing data in R from XML files, we need to install the XML package, which can be done as follows: install.packages("XML") To read XML files, we use the in-built function xmlParse(). For example: #To load required xml package to read XML files library("XML") #To ...
First, a few examples:Evidation Health has done studieswhich utilize longitudinal wearable technologies to predict a binary anxiety diagnosis with the help of temporal convolutional neural networks. These networks are able to perform better than baseline models because they use data collected at increasin...
To create a rank variable using mutate function, we can use dense_rank argument. Example Consider the below data frame − set.seed(7) x1 <-sample(1:5,20,replace=TRUE) x2 <-rep(c("Winter","Spring","Summer","Rainy"),times=5) df <-data.frame(x1,x2) df Output...
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To make things worse, you’ll probably host your Shiny app on a significantly less powerful server. Nevertheless, DuckDB is a clear winner – being around 35x faster. Let’s now use it in R Shiny to see how that translates to application load speeds. Bringing DuckDB ...
Use case_when to perform if-elif-else Use case_when to do if-else, and create a new variable in a dataframe Create new variable by multiple conditions via mutate (if-elif-else) Create a new variable in a dataframe with case_when, using compound logical conditions ...
How to Use Map Functions for Data Science in RRunning with_groups gives us the same output as the longer "group_by, slice, ungroup" workflow. Inspecting the output, we can see that with_groups has dropped the grouping structure in the data after applying our function just like the ...
See how to use the reactable R package to make an interactive table with rows that expand when clicked Credit: ThinkstockInteractive tables with searching and sorting can be a nice way of exploring data. And sometimes, you might want to share that data with other people — including text-...