Hi I got a lot of replies to the question of missing values below (also from a stat listserver). I thought I would share several links given to me (maybe they are of use to others or to others later on).
1) about mice imputation function https://stats.stackexchange.com/questions/28070/how-does-the-mice-imputation-function-work link to the 2011 paper: http://www.jstatsoft.org/v45/i03/paper mice: Multivariate Imputation by Chained Equations (in R) 2) A missing data program by Honacker, King and Blackwall (2013) including bootstrap-based EMB algorithm http://cran.r-project.org/web/packages/Amelia/vignettes/amelia.pdf Thanks again Ling ------ original question ------- Hi I had a question sent and was interested and hoped somebody could direct me to the relevant article and software etc. Suppose I have a dependent variable and a set of independent X1, X2, X3, X4 (could be more). X1 takes on specific values e.g., 2,4, 6, 8 ppm (concentration values). X2 takes on specific values such as temperature to nearest 5 degrees (say 40, 45,60) etc. X3 specific and X4 specific. [Chemistry experiment] Suppose I have all readings / combinations except for example the X2 = 4 and X2 = 50 readings (i.e., blocks of information missing). How can I best estimate these missing values? Thanks Ling Ling Huang Sacramento City College http://huangl.webs.com
