search for: perimessaggini

Hi, I'm try to compute the minimum sample size needed to have at least an 80% of power, with alpha=0.05. The problem is that empirical proportions are really small: 0.00154 in one case and 0.00234. These are the estimated failure proportion of two medical treatments. Thomas and Conlon (1992) suggested Fisher's exact test and proposed a computational method, which according to their table

Hi all, I have thousands of strings like these ones: "1159_1; YP_177963; PPE FAMILY PROTEIN" "1100_13; SECRETED L-ALANINE DEHYDROGENASE ALD CAA15575" "1141_24; gi;2894249;emb;CAA17111.1; PROBABLE ISOCITRATE DEHYDROGENASE" and various others.. I'm interested to extract the code for the protein (in this example: YP_177963, CAA15575, CAA17111). I

Hi, I' trying to learn how to use lme for Linear Mixed Models and I have a problem when I have to include more than one random effect in my model. I know that this could be a stupid question to ask, but I'm not able to solve it by myself... One example: if my model is response = operator + block + day with operator and block as fixed effects and day as random effect, I use res.lme

Hi everybody, I'm quite weak with regular expression, and I need some help... I have strings of the type >a [1,] "ppe46 Rv3018c MT3098/MT3101 MTV012.32c" [2,] "ppe16 Rv1135c MT1168" [3,] "ppe21 Rv1548c MT1599 MTCY48.17" [4,] "ppe12 Rv0755c MT0779" [5,] "PE_PGRS51 Rv3367"

Dear all, I cannot figure out how to solve a small problem (well, not for me), surely somebody can help me in few seconds. I have a series of strings in a vector X of the type "xxx", "yyy", "zzz", "IgA", "IgG", "kkk", "IgM", "aaa". I want to substitute every ENTIRE string beginning with "Ig" with

Hi all, first of all, I'm not an expert on R, I'm still learning, so sorry if this is a stupid question... I have a large dataset that is to big for my computer memory, and I found quite useful the package biglm. Now everything is working perfectly. But if I want the residuals, how I can do it? Let's say that we are running the example: > data(trees)>

Hi, I'm a beginner in the field, I have to perform the ridge regression with lm.ridge for many datasets, and I wanted to do it in an automatic way. In which way I can automatically choose lambda ? As said, right now I'm using lm.ridge MASS function, which I found quite simple and fast, and I've seen that among the returned values there are HKB estimate of the ridge constant and L-W

Hi, I'm using the sm.regression function from the package sm. Everything works fine, but I'd like to have the the "RGL" display only with the smoothed surface and without the data points displayed. Is there an option to do it? I can reduce their size, using "size" parameter, but I haven't found a way to remove them from the display... Thanks Giulio

Sorry if this is a stupid question, I'm a beginner and I didn't find help in manuals, archives, or web I have a z matrix of this type: a b c d 786-30.s2.gpr 0.2186214 1.3374486 89.37757 9.066358786-31.s1.gpr 1.0931070 1.3245885 81.37860 16.203704786-31.s2.gpr 0.5529835 1.3374486 86.43261 11.676955786-32.s1.gpr 0.6815844

http://kabarknives.handmadebestgifts.com/wp-content/plugins/mylife.html [[alternative HTML version deleted]]