Displaying 4 results from an estimated 4 matches for "lithology".
2011 Jan 18
3
tips for looping over a category for beginner
hello, I am very new to R.
My current data set is a mix of values and categories. It is a geoscience
data set, with values per rock sample. Case in point, each sample belongs to
a lithology class, and each sample has several physical property
measurements (density, porosity...).
I want to be able to plot these physical properties for all samples in each
lithology class. this is how i'm doing it now:
> tc = read.table(....)
> attach(tc)
> names(tc)
tc = [1] "Well&qu...
2010 Nov 07
0
multiple regression analysis
...hat on actuall R code. Those of you which are geologist or work with boreholes woudl understand that i would like to achieve.
I'll tr to explain as good as I can...so here it goes..
I have around 1000 geomechanical (geological) borehole logs in a database. The logs contain staial info, lithology and some laboratory data. My initial goal is
compare the boreholes that are closer together (ie.e closer that 50 meters) to see if they are similiar lithologicaly. I thought maybe this can be done with some kind of multiple
regression analysis where one would test if layers (ie. Clayey layer in...
2011 May 06
1
replace NA
Hello all
I have a geology map that has three level, bellow
<-geology
lithology landscape landform
landform level is used as covariate (with codes=1,2,3,4,5) for training of neural network, but this level has missing data as NA.
I want to replace the missing data of landform level with 0 (zero). Finally, landform will have codes 0,1,2,3,4,5.
please help me
Thank...
2009 Apr 30
0
Categorical variable in a custom nonlin function with gnm
...el. I have previously done something similar with nonlinear least squares models (nls) and it worked very well, however gnm doesn't seem to like these dummy variables, and doesn't estimate the parameters.
It works if I put the dummy variables into a linear model using gnm, like so:
(where LithologyB is a series of ones and zeros, representing the occurrence of Lithology B, etc.)
> summary(gnm(response~LithologyB+LithologyC+LithologyD+LithologyE+LithologyF, family=binomial))
Linear predictor - using glm.fit
Call:
gnm(formula = response ~ LithologyB + LithologyC + LithologyD + Litholog...