【latex版】水贴 [推广有奖]

1421楼

oliyiyi 发表于 2015-12-9 14:56:38

The first descriptions date from the 1950s and are predominately quantitative. Currently, two principal uses of content analysis are evident.

1422楼

oliyiyi 发表于 2015-12-9 15:04:51

The first descriptions date from the 1950s and are predominately quantitative. Currently, two principal uses of content analysis are evident.

1423楼

oliyiyi 发表于 2015-12-9 15:06:28

One is a quantitative approach often used in, for example, media research, and the other is a qualitative approach often used in, for example, nursing research and education.

1424楼

neuroexplorer 发表于 2015-12-10 08:24:28

与学术无关的话: nice.

1425楼

neuroexplorer 发表于 2015-12-10 08:25:00

与学术无关的话: just chatting.

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1426楼

neuroexplorer 发表于 2015-12-10 08:33:08

What sort of an act do you do? I bend over backwards and pick up a handkerchief with my teeth.

1427楼

oliyiyi 发表于 2015-12-10 12:07:43

Linear mixed-effects models (LMMs) are an important class of statistical models
that can be used to analyze correlated data. Such data include clustered
observations, repeated measurements, longitudinal measurements, multivariate
observations, etc.

1428楼

oliyiyi 发表于 2015-12-10 12:08:27

The aim of our book is to help readers in fitting LMMs using R software. R
(www.r-project.org) is a language and an environment aimed at facilitating
implementation of statistical methodology and graphics. It is an open-source
software, which can be freely downloaded and used under the GNU General
Public License. In particular, users can define and share their own functions, which
implement various methods and extend the functionality of R. This feature makes R
a very useful platform for propagating the knowledge and use of statistical methods.

1429楼

oliyiyi 发表于 2015-12-10 12:14:41

We believe that, by describing selected tools available in R for fitting LMMs,
we can promote the broader application of the models. To help readers less familiar
with this class of linear models (LMs), we include in our book a description of the
most important theoretical concepts and features of LMMs. Moreover, we present
examples of applications of the models to real-life datasets from various areas to
illustrate the main features of both theory and software.

1430楼

oliyiyi 发表于 2015-12-10 12:15:20

There are many packages in R, which contain functions that allow fitting various
forms of LMMs. The list includes, but is not limited to, packages amer,
arm, gamm, gamm4, GLMMarp, glmmAK, glmmBUGS, heavy, HGLMMM,
lme4.0, lmec, lmm, longRPart, MASS, MCMCglmm, nlme, PSM, and pedigreemm.
On the one hand, it would seem that the list is rich enough to allow for