search for: 0.1716

Hello, my question is about the data handling. I have a data set that is lined as: 4 1 17 1 1 -5.1536 -0.1668 -2.3412 -0.5062 0.9621 0.3640 0.3678 -0.5081 -0.2227 0.8142 -0.0389 -0.0445 -0.0578 -0.1175 -0.1232 0.8673 -0.1033 -0.0796 -0.0341 -0.1716 -0.1801 -0.7014 0.6578 0.5611 4 1 17 2 1 -5.1536 -0.1668 -2.3412 -0.5062 0.9621 0.3640 0.3678 -0.5081 -0.2227 0.8142 -0.0389 -0.0445

Buenas noches estimados colegas: Adjunto la matriz,de la que quiero obtener, los promedios de cada elemento de los vectores que la componen. Me explico, el primer vector, tiene como primer elemento 23 y la suma de todos los elementos es 134; por lo tanto el promedio será 0.1716, el segundo elemento de dicho vector es 20, entonces el promedio sería 0.1492, del tercero el promedio es 0.1343 y así

Dear Sir or Madam? I am a doctor of urology,and I am engaged in developing a nomogram of bladder cancer. May I ask for your help on below issue? I set up a dataset which include 317 cases. I got the Binary Logistic Regression model by SPSS.And then I try to reconstruct the model ?lrm(RECU~Complication+T.Num+T.Grade+Year+TS)? by R-Project,and try to internal validate the model through

Dear All, I?m using R package ?msm? to fit a multi state model to infection history data (counts of infections per month upto diagnosis of a particular disease (sink state is state 11). The observed transitions are as follows: to from 1 2 3 4 5 6 7 8 10 11 1 35192 3806 899 233 46 11 3 0 1 534 2 3801 790 249 69 15

I have time-series data looking like this: > dataIn[sample(c(1:nrow(dataIn)), 25),] accelerometer_y id data_block_epoch_time 782 0.8424 201300 1331797330000 1868 0.3432 202386 1331797384000 1828 0.3510 202346 1331797382000 1026 0.2184 201544 1331797342000 1569 0.3432 202087 1331797369000 1453