wakefield | Generate random data sets | Generator Utils library

I am wanting to link a dataTableOutput and a plot within a shiny app, so that when a row or a cell is selected within the table, the plot will reactively update with the data associated with that row.

Here is my data:-

Data

I am developing a feature within a shiny app that shows a dataTableOutput and a plot associated with it. The plot displays the counts of unique ID's by group and date, while the table shows data associated with the time and date filtered. The column headings in the table are the dates within the data, which has been created using the pivot_wider function with tidyr. Here is some example code:-

Data

I want to run a bootstrap (k=10,000) and Kaplan-Meier calculations on the numeric column of three different data frames using lapply or sapply when functions are nested.

I have defined three functions to use as arguments in the command for boostrapping. One function returns a set of predefined quantiles, another the median, and a thrid a 95% confidence interval for the median. Bootstrapping fails altogether. The error I get for bootstrapping reads, "Error in x[, "Result", drop = FALSE] : incorrect number of dimensions"

KM only completes for the first data frame on the list (df).

I am using the boot and NADA2 libraries for the calculations.

Below is a REPREX of the data, functions, and commands:

Apologies if this has been asked elsewhere / if I am using the wrong terms, I have been trying to search for the correct way to do this but with no success so far.

I have an experimental design with 3 experimental conditions using repeated measures outcomes (each participant completes 4 trials). The data I have currently is in long format (each participant ID is repeated 4 times). I am trying to calculate summary statistics for the demographic variables (age, gender, condition etc.) but I cannot figure out how to, for lack of a better word, collapse/merge the rows for each participant together to get the frequency data and/or summary stats.

Below I have a simulated dataset

I have a data frame which consist of many cities and their corresponding temperature:

I have made a for loop in R which sets the value of the variable mention.parkinsons based on the value of the variables contained in the list mention.parkinsons.tags:

I have a document with a property which is an array of objects. I would like to write a query that filters out objects from the child array. I thought the array_ contains would do the trick but it does not appear to filter the child array.

Query

Yes i saw a lot of suggestions about similar topic and most of them didn't solve my question

here is a code from a book am trying to understand the work of the arrow function as am very used to the normal function... how can i write the below code with a normal function..

thank you

I am working with a call log data set from a telephone hotline service. There are three call outcomes: Answered, Abandoned & Engaged. I am trying to find out the average time taken by each caller to contact the hotline again if they abandoned the previous call. The time difference can be either seconds, minutes, hours or days but I would like to get all four if possible.

Here is some mock data with the variables I am working with:-