When you extract a single row from a data frame you get a one-row data frame. Convert it to a numeric vector: As @Roland suggests, unlist(df[1,]) will convert the one-row data frame to a numeric vector without dropping the names. Therefore unname(unlist(df[1,])) is another, slightly more explicit way to get to the same result. As … Read more
I figured it out already: does what I need — apparently, the table needs to somehow be converted to a matrix in order to be appropriately translated into a data frame. I found more details on this as.data.frame.matrix() function for contingency tables at the Computational Ecology blog.
You can index RT with is.na(ACC) like this. This answer will work if RT and ACC have the same dimension.
We can use across with summarise
You could use cut data
I want to split a data frame into several smaller ones. This looks like a very trivial question, however I cannot find a solution from web search.
Differents lengths in original x, x1 and z lists is the first problem, how can you say which z values is related to each x and x1 values? Another problem is here: You clean x and x1 before calculating x_to_remove and x1_to_remove EDIT: To achieve your desired output try this code (/ode lines added signed … Read more
Based on @Dave2e comment. It is better to use data=NewSetSlide.ex argument inside lm function call to avoid naming conflicts moreover you should avoid using attach function. Please see as below (NewSetSlide.ex data frame was taken from the question above): Output:
(For the columns that are factors, you can only assign values that are factor levels. If you wanted to assign a value that wasn’t currently a factor level, you would need to create the additional level first:
you appear to have a problem with the type of object you have. you can try converting it to a data frame using unlist, as.data.frame(), etc.