Pull() function: why these outputs are different?
I am trying to understand a problem regarding the pull()
function using these two examples:
Assigning value from previous row works only once. Don’t fill whole column [duplicate]
This question already has answers here: R: fill down multiple columns (3 answers) Closed last month. I have data wchich have value only in the first row of series. Like this: data <- data_frame(no = c(1:10), day = c(“day 1”, NA, NA, NA, “day2”, NA, NA, “day3”, NA, NA)) no day <int> <chr> 1 1 […]
Select non-syntactic names of a data frame when name is a variable
I have a data frame where some of the column names are non-syntactic. I want to select a range of these columns, but I am trying to do so inside a function. That is, the non-syntactic names which I want to select on are provided as variables to the function.
How to get t.test and dplyr group_by/summarise to be recognized within a function in R?
I created a function so I can perform multiple statistical procedures for several values in a dataset: 1) paired t-test, 2) create a simple boxplot, 3) get summary statistics of patient measures before and after intervention.
When should .default be used over TRUE in dplyr::case_when
dplyr::case_when
has an optional argument, .default
, which according to the documentation
Changing factor levels with dplyr mutate
This is probably simple and I feel stupid for asking. I want to change the levels of a factor in a data frame, using mutate. Simple example:
Changing factor levels with dplyr mutate
This is probably simple and I feel stupid for asking. I want to change the levels of a factor in a data frame, using mutate. Simple example:
How to return multiple columns from one function inside `mutate` and allow me to name the output columns?
Consider this code:
Calculating population estimate on multiple species in same table
I am trying to write a code that will allow me to automate the calculation of a population estimate on summarized capture data based on two-pass depletion methods used in fisheries.
Calculating population estimate on multiple species in same table
I am trying to write a code that will allow me to automate the calculation of a population estimate on summarized capture data based on two-pass depletion methods used in fisheries.