there is dataframe ori_df , how to transfer to character with name ? The wished result as my_chr

I am trying to create different date ranges based on 4 different start dates as follows:

I am racking my brain to understand why round function is not working in a simple data frame. I want to see 2 decimal point after the end of each value in the column numeric_col while not changing the data type to character.

I am racking my brain to understand why round function is not working in a simple data frame. I want to see 2 decimal point after the end of each value in the column numeric_col while not changing the data type to character.

I am trying to merge two datasets. One of them shows what activity each person did and their duration (separate row for each activity per person), and the other shows with whom the activity was done (new row for each person each activity was done with.) For anyone wondering it’s the ATUS 2003-2022 data. Whenever I try to merge them by the person’s ID I get the following error: Error in vecseq(f__, len__, if (allow.cartesian || notjoin || !anyDuplicated(f__, :
Join results in more than 2^31 rows (internal vecseq reached physical limit). Very likely misspecified join. Check for duplicate key values in i each of which join to the same group in x over and over again. If that’s ok, try by=.EACHI to run j for each group to avoid the large allocation. Otherwise, please search for this error message in the FAQ, Wiki, Stack Overflow and data.table issue tracker for advice.

I am working with 11 different data frames in R, each with several columns of data on U.S. counties. Each observation, therefore, pertains to one county. The data frames are of different lengths, indicating that some data frames have entries for counties that other data frames do not. All data frames have a “FIPS” code as the value in one column, which indicates which U.S. county the observation gives data on. I want to reduce the length of all 11 data frames to identical lengths, with identical vectors of FIPS codes.

I have 25 yrs’ worth of capture data that includes 12 different species. Currently, I have a line for each individual caught at each site and date. What it currently looks like:

I have five data frames in R, each with annual crime data for the years 2018-2022. There are 40 columns and thousands of observations. Each observation is one county in the U.S. 39 columns have crime counts for their respective county (different crime types), and 1 column has a 5-digit “FIPS” code for the county. Each data frame is of a different length, indicating that the same set of counties did not submit crime data for each year.

I have a dataframe of duplicates, but some are missing:

I’m just starting to learn R, and I’m trying to figure out how to get rid of values that are unpaired in R.