doby | TODO with expiring dates

how to get the results of a mean and standard deviation to the same data frame by creating extra columns (mean and standard deviation) in R

**DATA:

I am getting Mean and standard deviation while filtering the below-mentioned columns in the R console, but how I should get the mean and SD without filtering the columns "Day" and "Category" without filtering it manually in the code and the result should print in the same CSV itself.

code should automatically create the depends on the column filter like below and print the results in the same CSV:

I've created a multi-step form in "react": "^17.0.1", "yup": "^0.29.3", and "formik": "^2.2.3".

I want to check that when a user enters in a their Birth Day (dobD) that it is valid based on Birth Month (dobM) and Birth Year (dobY).

I have 3 separate inputs. dobM, dobD, dobY

The first check for dobD works (i.e the user can only enter a value between 1 and 31) however it doesn't validate correctly if it a month with less than 31 days (for example June or September) OR if the month is February (which only 28 days except for leap years).

I tried using Yup.ref to reference the year and month fields inside of the day field validation, however if I type for the month 04, the user can still enter 31 which is incorrect (since April (04) only has 30 days).

Any ideas how can I fix this? Thank you!

Here is the validation in Yup I'm currently using:

I have a comparing method of two arrays like this:

This is my first attempt at using Shiny.

I have a simulated patient-level dataset with 4 variables:

• group: Categorical, takes on values A, B and C. Represents 3 different treatment types that were used in the study.
• week: Numeric variable, takes on values 1, 4, 8.Represents follow-up week.
• painscore: Numeric variable, score on scale of 1-10, with 1 indicating no pain, 10 indicating extreme pain.
• dependscore: Numeric variable, score on scale of 1-10, with 1 indicating no dependency on pain meds, 10 indicating extreme dependency.

Trying to build a simple app that accepts two inputs: the week, and the variable, and provides two outputs:

1. A boxplot of distribution of scores for the selected variable for the selected week. The x axis would represent the 3 levels of group (A, B and C).
2. A summary table the shows the number of observations, median, 25th percentile, 75th percentile and number of missing.

I was able to create the interactive boxplot, but I am unable to create the summary table. I was able to create static versions of this table in RMarkdown using the summaryBy function from doBy, but I am not able to implement it in Shiny. Tried following the advice here and here but I'm missing something.

Here's my code for reproducibility. Excuse the extensive annotations, (I'm a complete beginner) they are more for myself than for anyone else.

I am practicing by creating an age calculator which calculates age in years based on given date of birth.

However it doesn't work the way I intend it to function. I want to show age in year e.g 19 to the user when their age is 19 and month is less than 6 and if the month is more than 6 then I want to add 1 to the age in this case 19+1.

Can anyone create the same program with the same concept in a better way? Please add some explanation so that it is easy for me to understand.

I am python beginner, so please excuse my bad code as well as my bad English. Thanks in advance for the help.

I would like to ask for help with a Flexdashboard using Plotly and Shiny. The only thing now is that the app is throwing away browser tabs like there's no tomorrow. For every reactive input from the user, the app opens a new tab, where it does produce the correct output.

I've noticed that Flexdashboard, Plotly, and Shiny all work well for me. The problem seems to arise somewhere in their combination.

I would greatly appreciate some advice. The reproducible .Rmd script may be found on Github. It was deployed in about two minutes by using the code below:

I want to make multiple histogram plots (one for each column) in a data frame using a 'for' loop in R. The sample data (df) looks like as follows.

After much searching, I can't seem to figure this out. Trying to write a function that:

• takes a data frame, db
• groups the data frame by var1
• returns the mean and sd by group on several different columns

Here is my function,