Simple Linear Regression Applied to Quantification
A R tutorial about how to perform a simple linear regression applied to a quantification problem.
1 Problem You need to quantify the lycopene quantity of three tomato varieties. You take samples from these tomatoes and extract the compound of interest. Then you use HPLC to quantify the lycopene concentration in the extracts.
You HPLC equipment just gives to you signals data as milli-absorbance units (mAU). The intensity of this signals is proportional to the concentration in the samples....
Two Treatments Comparison on Multiple Responses
A complete R tutorial about how to perform a comparison analysis between two treatments on multiple responses. This is performed through a t-Test, summarizing and graphing the data.
1 Problem You are interested on the effects of the consumption of a high fat-high cholesterol diet in mice. To elucidate theses effects you plan and perform an experiment with twelve animals. Six mice will consume a regular diet while the remain will eat the fat as part of their diet....
Two Treatments Comparison
A R tutorial about how to perform a data analysis to compare data from two treatments. This is performed through a t-Test, summarizing and graphing the data.
1 Problem You want to know if the consumption of a certain kind of fat can increase drastically the weight. With this purpose you decide to perform an experiment using some mice. You have twelve animals and you randomly assign a different diet to each one....