search for: asthma

...Jan, Thank you very much for your excellent description of the problem and the self-contained test code. This is a problem that I've been meaning to either document better or solve for some time. The root of the problem is with the builtin S-Plus terms.inner function: > attr(terms.inner(asthma ~ pol(age,kx) + smok),'variables') expression(age, kx, smok) You can see that terms.inner inappropriately includes kx as an independent variable as it does not know that the first argument to pol is the special variable. When a constant replaces kx, all is well. As I am relying on the C c...

...77777 88888 healthy1 12121 21111 32132 57230 69715 67890 87878 98989 healthy1 10101 20202 30303 67223 51967 65656 78900 111111 healthy2 12345 23111 32100 65931 67650 60001 80001 101010 healthy2 13333 21231 34111 58761 54086 60002 80002 122222 healthy2 13232 20101 30009 68752 70360 60003 80003 91919 asthma 32132 19889 30733 59959 71783 60237 65603 20374 asthma 34344 20483 31182 70531 59630 40445 56370 98404 asthma 39999 20464 29793 58395 66976 50577 39908 65367 diabetes 10000 20102 29486 51260 68447 42960 50875 216227 diabetes 10111 19143 31275 52573 55459 71337 53090 151505 diabetes 10001 21790 3147...

Hello, I have a data base with variables pasthma,kasthma,sex,etc. I wrote a program to compute the Kappa statistic between pasthma and kasthma. Actually "did the child had asthma" answered by the parents and by the child. kappa <- function(x) { r <- paste("p",evaluate(x),sep="") c <- paste("k",e...

...uot; > [16] "X65.74..06." "X75.84..06." "X85.94..06." > [19] "X95.and.more..06." > > head(mort$X) > [1] Accidental poisoning > [2] Addiction to prescription medication > [3] Alcohol abuse and alcohol-related psychosis > [4] Asthma > [5] Blood and hematopoietic disorders > [6] Cerebrovascular disease > 65 Levels: 1109 1869 36 ... Viral hepatitis > > En cambio mira el dataset "mortality": > > names(mortality) > [1] "15-24 (79)" "25-34 (79)" "35-44 (79)&quo...

...06." "X55.64..06." [16] "X65.74..06." "X75.84..06." "X85.94..06." [19] "X95.and.more..06." > head(mort$X) [1] Accidental poisoning [2] Addiction to prescription medication [3] Alcohol abuse and alcohol-related psychosis [4] Asthma [5] Blood and hematopoietic disorders [6] Cerebrovascular disease 65 Levels: 1109 1869 36 ... Viral hepatitis En cambio mira el dataset "mortality": > names(mortality) [1] "15-24 (79)" "25-34 (79)" "35-44 (79)" [4] "45-54 (79)"...

Estimados Queremos con el paquete FactoMineR hacer este tipo de tabla de mortalidad que lea los datos desde de una tabla csv Realizamos lo que viene en la ayuda y es muy interesante, sin embargo cuando mandamos a leer desde la tabla csv original de los autores no hace el análisis porque algo falta y no nos percatamos de que es. Adjunto tabla original Saludos cordiales #ESTO ES LO QUE

...ear", then the people answer three sympthoms, the first mention (Top of mind) is saved in a variable called "P2_A", the second mention in a variable called "P2_B" and the third mention in "P2_C". Each answer is coded with numbers like this: 1 = Flu 2 = Cough 3 = Asthma .... 13 = Fever I've already done a K-cluster analysis and segmented my data base. So my first task is to develop tables to develop tables of frequencies crossing Cluster vs. "P2_A" in order to know which are the top of mind products and their frequencies by cluster, then the secon...

...enomics Medicine Ireland is opening new positions for our bioinformatics team. The team will analyse the ?omics data produced at GMI, which currently includes disease cohorts such as IBD, Multiple sclerosis, Alzheimer's, rare diseases, cancer and recently we have opened programs in diabetes and asthma. Our work will also focus on ancestry related topics, namely how population genetics can increase the power of disease analysis. We are building a team of cognitively diverse people, that will feed off each other to find GMI?s analytical solutions, ranging from bioinformaticians; biologists or me...

...empirical probability. If you can find the time, send me some information on these two problems, because I haven't even been able to get started good, I am so confused. Thanks, Cassie 1.. Estimate the probability that a randomly selected adult person in the U.S. will be afflicted with asthma. Use this probability to estimate the number of Americans afflicted in 2000. 2.. A Web Search Exercise Using data from any year in the last 10 years, estimate the probability a newborn baby will be female. Locate the necessary data on the World Wide Web and submit the relevant URLs along...