The experiment design and analysis package is meant for dealing with data analysis of plant science (Agriculture and Genetics) and allied field. This is born out of personal use necessicity, mainly.
You can install development version of the expdean package from Github with:
devtools::install_github("DeependraD/expdean")
library(expdean)
lm_list
: Fit linear models for multiple response variables in a dataframecorstars
: Correlation coefficient table with significance annotation; Carried over with slight modification from: http://myowelt.blogspot.com/2008/04/beautiful-correlation-tables-in-r.htmlgrid_arrange_share_legend
: Share legend and plot multiple ggplot grobs; Copied from: http://rpubs.com/sjackman/grid_arrange_shared_legendmean_differences_lm
, mean_differences_emmeans
: Mean separation techniques for multiple. Some visualization techniques are also included as comment.p_annotator
: Model summary table for various model types. This implements tidy techniques for regression model summary table generation (Looks alike stargazer summary table).long_stargazer
: Model summary table with modified stargazer and some useful defaults.trait_genetics_tidy.R
.trait_genetics_tidy.R
.heritability_n_blues()
function should accept NULL
as well as arbitrary number of covariates.heritability_n_blues()
function in estimating heritability.model_summary_kabletype.R
's p_annotator()
function.library(available)
available("expdean")
usethis::use_roxygen_md()
to useusethis::use_data(some_object_usually_df)
to use object in current session as exported data.usethis::use_tidy_eval()
to use rlang and NSE features without explicitly exporting each functiondevtools::document()
to automatically generate roxygen documents and namespace fileusethis::use_mit_license()
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