This module offers value in understanding prevalence, with data from the 2016-2021 BRFSS suggesting that 1 in 9 people aged 50 years and older are experiencing subjective cognitive decline nationally. The module also offers the ability to analyze risk factors and health behavior related to detection...
R语言数据可视化分析案例:探索BRFSS数据, 加载包 library(tidyr)library(knitr)opts_chunk$set(echo=TRUE,fig.align="center") 载入资料 rload("brfss2013.RData")第1部分:数据描述如何收集样本中的观测值,以及此数据收集方法对推断范
r load("brfss2013.RData") 第1部分:数据 描述如何收集样本中的观测值,以及此数据收集方法对推断范围(可概括性/因果关系)的影响。http://www.cdc.gov/brfss/,以及下面的“有关数据的更多信息”部分。 “BRFSS是一项横断面电话调查,州卫生部门每月通过座机和电话进行调查,并获得标准化问卷和CDC的技术和方法支持。
geom_histogram(bins=30, position = position_dodge()) + ggtitle('Number of Days Physical Health not Good in the Past 30 Days') ggplot(aes(x=menthlth, fill=sex), data=brfss2013[ ! is.na(brfss2013 $ sex), ]) + geom_histogram(bins=30, position = position_dodge()) + ggtitle('Number...
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While applying our experiments with the 2014 BRFSS data sets Neural network has the highest accuracy with 82%and with the 2015 BRFSS datasets the best accuracy model was 86% for CatBoost Classifier and Extreme Gradient Boosting where the lowest model was Linear Discriminant Analysis. Also, in our...
library(ggplot2) library(dplyr) library(Rgraphviz) library(knitr) library(grid) library(gridExtra) load("brfss2013.RData") # group and count a feature with discrete values feature_vcounts <- function(df, f) { df %>% group_by_at(f) %>% count()} # method for binning values bin_min...