massdataset
provide the mass_dataset
class which is specifically developed and designed to organize the rectangular metabolomics data sets into a standard structure. massdataset
package also provide a lot of base processing functions to process and operate the mass_dataset
class. In additional, the mass_dataset
class can be processed by all the packages from tidymass
.
Merging separate data objects is useful for manually-imported data objects, especially for metabolomics data analysis. It’s significant to keep unified format before analysis. While the first category of merging functions is useful for direct manipulations of the data for analytical purposes, massdataset
is a convenience/support tool to help get your data into the right format.
You can install massdataset
from GitLab
if(!require(remotes)){
install.packages("remotes")
}
remotes::install_gitlab("jaspershen/massdataset")
or GitHub
remotes::install_github("tidymass/massdataset")
More information can be found here.
If you have any questions about massdataset
, please don’t hesitate to email me (shenxt@stanford.edu) or reach out me via the social medias below.