search for: porosity

...in MASS Ch. 6, "whiteside data" to analyze a different data set with similar variables and structure. Here is my data frame: ###subset one of three cases for the variable 'position' >data.b<-data.a[data.a$position=="inrow",] > print(data.b) position porosity x y 1 inrow macro 1.40 16.5 2 inrow macro . . . . . . . . . . 7 inrow micro 8 inrow micro Now I want to do separate lm's for each case of porosity, macro and micro. The code as g...

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" "Depth" "Latitude" "Longitude"...

...L, 7L, 1L, 2L, 2L, 7L, 7L, 2L, 7L, 7L, 7L, 3L, 3L, 2L, 5L, 5L), .Label = c("basalt", "clay", "coal", "dolomite", "limestone", "marl", "sand"), class = "factor")), .Names = c("Density", "Depth", "Porosity", "Conductivity", "LithClass"), row.names = c(NA, 114L), class = "data.frame") > tcc.new = subset(tcc, LithClass %in% c('clay','sand','marl')) >dput(tcc.new) structure(list(Density = c(1.84, 1.91, NA, 1.95, 2.04, 2.11, -- snip--...

...d. EBimage image processing package seems so powerful. But in R News, it is used for the images of cells under microscope. So, i wonder whether there is anyone who use this package for materials science applications such as determination of mean diameter of particles, fibers or pores, estimation of porosity or covering factor. Sincerely... -- Ýbrahim Mutlay [[alternative HTML version deleted]]