A ‘metafunction’ in R to create functions with evaluated/explicit parameter? (Don’t know how to phrase this exactly)
I want to create a function that returns another function with a parameter from the former, e.g.
How to write as a file each separate row in the dataframe, with file names indicated in a separate data frame?
I would like to be able to write each separate row of a dataframe into a file, with a file name being indicated in the corresponding index entry of a different data frame.
Here is the data frame for which I’d like to save rows as files:
How to write as a file each separate row in the dataframe, with file names indicated in a separate data frame?
I would like to be able to write each separate row of a dataframe into a file, with a file name being indicated in the corresponding index entry of a different data frame.
Here is the data frame for which I’d like to save rows as files:
How to write as a file each separate row in the dataframe, with file names indicated in a separate data frame?
I would like to be able to write each separate row of a dataframe into a file, with a file name being indicated in the corresponding index entry of a different data frame.
Here is the data frame for which I’d like to save rows as files:
How to develop Relative Percent Difference Function for dataframe?
I am new to R and so I assume this is something rather simple but I can not find an adequate explanation online or a easy way to go about it. I have a table consisting of rows containing quality control values and original values. I want to create a function that goes through each of the rows, obtains the relative percent difference (RPD) between the Value_QC and Value_Results and then creates a new row on the end with the result. I believe what I need is a function that iterates the RPD formula (attached below) through each row in the column, pulling the Value_QC and Value_Results as the variables. There are also some NAs in the value columns, and I would like to set those to 0 if possible but not sure how to do that either. I know what I want to accomplish, I just don’t have the skills yet in function building in order to develop it. Any help, especially with explanation, would help immensely! Thanks!
How to modify the function in Table1 package to get a p value for ANOVA
I am using R markdown and trying to simulate the vignette for table1 package on the following link and using the melanoma2 data set.
The link: Using the table1 Package to Create HTML Tables of Descriptive Statistics (r-project.org)
HOW TO MODIFY THE FUNCTION IN TABLE1 PACKAGE TO GET P VALUE FOR ANOVA
I am using R markdown and trying to simulate the vignette for table1 package on the following link and using the melanoma2 data set.
The link: Using the table1 Package to Create HTML Tables of Descriptive Statistics (r-project.org)
My function does not work, the code, separately, does
I try to create a function that checks the data frame to detect the binary vectors (columns) and changes these binary vectors into factors. I have managed to design a code. However, when I tried to wrap it into a function, the function did not work. My question is: what is wrong with my function, and what is missing?
How can I build a function in R that will take a numerical variable as a column name?
I am trying to create a function that will use a number it is passed as a column name for a dataframe. This sounds sort of silly because normally I wouldn’t use numbers as column names, but in this case I’m actually trying to work with a BchronCalibratedDates object produced by the Bchron package, and it is a nested list named after the sample ID, which is usually a number.
Error in emmeans(p_m, ~p_t | p_g, at = list(p_t = c(-700, -365, 0, 365, : No variable named p_t in the reference grid
I first run the multilevel model for analysis, which has no issue.