Introduction Mixed models are quite tricky, in that, while being very powerful extensions of linear models, they are somewhat difficult to conceptualize and otherwise to specify. Mixed models have, in addition to usual fixed effect combination of factors, random effects structure.
Split plot design Design and fieldbook template In a field experiment to test for effects of fungicide on crop, treatment of fungicides may be distinguised into multiple factors – based on chemical constituent, based on formulation, based on the mode of spray, etc.
Functional approach to creating and combing multiple plots This approach highlights features of gridExtra package that allows combining multiple grob plots using function calls. We explicitly use lapply/split or similar class of purrr functions to really scale the graphics.
Introduction Balanced block designs are a class of randomized experimental design that contain equal number of records for a particular level of categorical variable across all blocks.
Example 1 Let us generate some data from random process mimicking a single factor process consisting of 3 levels.
Flow diagrams are jam-packed with information. They normally describe a process and actors that are involved in making that happen.
With r package diagram, which uses r’s basic plotting capabilities, constructing flowcharts is as easy as drawing any other graphics.
Unlike composing a text memos and keeping tracks of those, calendar graphics is a highly effective visual aid to taking notes and summarizing them. Well, we all have used calendar, one way or the other, in our lifetimes.
h1.title { font-size: 50px; color: DarkRed; text-align: center; } h4.author { /* Header 4 - and the author and data headers use this too */ font-size: 18px; font-family: "Times New Roman", Times, serif; color: DarkRed; text-align: center; } h4.
Ideas surrounding tidy evaluation quote() and eval() Why quote at-all Resolved messy data with tidy evaluation List behavior Using pmap to perform list operations inside a dataframe Apply a function to certain columns only, by rows Do any arbitrary operation Using dplyr functions inside your own functions Effiecient ways to operate on list Binds each element as row but third element is list Produces rowbinding for dataframe but doesn’t work with list elements Tibble and map data to list column in isolation Modeling, exploration, summary extraction and visualization examples using dplyr verbs.
My sufferance Time and again, I’ve suffered due to my humanistic limitations of memorizing things promptly. I suck at remembering stuffs, dates particularly. So, In this blog trip (Oh! this is a trip btw, because I don’t forsee myself surpassing my memory limitations any sooner than death), I will be stating if not rambing on some lifesaving tricks of picking up pieces of your faulty brain.