首页gam(c$Mortality~s(c$Age)+c$Group,family = binomial(link = "logit"), + data = c)

gam(c$Mortality~s(c$Age)+c$Group,family = binomial(link = "logit"), + data = c)

时间: 2024-02-15 09:48:25 浏览: 57

C语言Turbo C下实现俄罗斯方块

本文实例为大家分享了C语言俄罗斯方块的具体代码，供大家参考，具体内容如下 #include <stdio> #include <dos> #include <conio> #include <graphics> #include <stdlib> #ifdef __cplusplus #define __CPPARGS ... #else #define __CPPARGS #endif #define MINBOXSIZE 15 /* 单方块的大小 */ #define BGCOLOR 7 /* 背景着色 */ #define GAMEX 200 #define GAM

As an AI language model, I cannot fully understand the context and the specific requirements of the code you provided. However, I can explain the general purpose and syntax of the code. The code is using the gam function from the mgcv package in R to fit a generalized additive model (GAM) to the data in the c dataframe. The formula c$Mortality~s(c$Age) c$Group specifies that the mortality variable in the c dataframe is the response variable, and it is modeled as a function of age and group variables. The s() function is used to specify that the age variable is modeled using a smooth function. The family argument is set to binomial with a logit link, indicating that the response variable follows a binomial distribution (i.e., a binary outcome - dead or alive) and the logit link function is used to relate the predictor variables to the response variable. Overall, the code is fitting a GAM to the data to investigate the relationship between mortality, age, and group variables.

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