Pertanyaan yang diberi tag microarray

12
Perbedaan antara PROC Mixed dan lme / lmer dalam R - derajat kebebasan

Catatan: pertanyaan ini adalah repost, karena pertanyaan saya sebelumnya harus dihapus karena alasan hukum. Sambil membandingkan PROC CAMPURAN dari SAS dengan fungsi lmedari nlmepaket di R, saya menemukan beberapa perbedaan yang agak membingungkan. Lebih khusus lagi, derajat kebebasan dalam...

r mixed-model sas degrees-of-freedom pdf unbiased-estimator distance-functions functional-data-analysis hellinger time-series outliers c++ relative-risk absolute-risk rare-events regression t-test multiple-regression survival teaching multiple-regression regression self-study t-distribution machine-learning recommender-system self-study binomial standard-deviation data-visualization r predictive-models pearson-r spearman-rho r regression modeling r categorical-data data-visualization ggplot2 many-categories machine-learning cross-validation weka microarray variance sampling monte-carlo regression cross-validation model-selection feature-selection elastic-net distance-functions information-theory r regression mixed-model random-effects-model fixed-effects-model dataset data-mining
9
Bootstrap parametrik, semiparametrik, dan nonparametrik untuk model campuran

Cangkok berikut diambil dari artikel ini . Saya pemula untuk bootstrap dan mencoba mengimplementasikan bootstrap parametrik, semiparametrik, dan nonparametrik untuk model campuran linier dengan R bootpaket. Kode R Ini Rkode saya : library(SASmixed) library(lme4) library(boot) fm1Cult...

r mixed-model bootstrap central-limit-theorem stable-distribution time-series hypothesis-testing markov-process r correlation categorical-data association-measure meta-analysis r anova confidence-interval lm r bayesian multilevel-analysis logit regression logistic least-squares eda regression notation distributions random-variable expected-value distributions markov-process hidden-markov-model r variance group-differences microarray r descriptive-statistics machine-learning references r regression r categorical-data random-forest data-transformation data-visualization interactive-visualization binomial beta-distribution time-series forecasting logistic arima beta-regression r time-series seasonality large-data unevenly-spaced-time-series correlation statistical-significance normalization population group-differences demography
8
Mengapa model statistik cocok jika diberi set data yang sangat besar?

Proyek saya saat ini mungkin mengharuskan saya untuk membuat model untuk memprediksi perilaku sekelompok orang tertentu. set data pelatihan hanya berisi 6 variabel (id hanya untuk tujuan identifikasi): id, age, income, gender, job category, monthly spend di mana monthly spendadalah variabel...

modeling large-data overfitting clustering algorithms error spatial r regression predictive-models linear-model average measurement-error weighted-mean error-propagation python standard-error weighted-regression hypothesis-testing time-series machine-learning self-study arima regression correlation anova statistical-significance excel r regression distributions statistical-significance contingency-tables regression optimization measurement-error loss-functions image-processing java panel-data probability conditional-probability r lme4-nlme model-comparison time-series probability probability conditional-probability logistic multiple-regression model-selection r regression model-based-clustering svm feature-selection feature-construction time-series forecasting stationarity r distributions bootstrap r distributions estimation maximum-likelihood garch references probability conditional-probability regression logistic regression-coefficients model-comparison confidence-interval r regression r generalized-linear-model outliers robust regression classification categorical-data r association-rules machine-learning distributions posterior likelihood r hypothesis-testing normality-assumption missing-data convergence expectation-maximization regression self-study categorical-data regression simulation regression self-study self-study gamma-distribution modeling microarray synthetic-data