library(knitr)
library(readr)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(tidyr)
library(broom)
library(ggplot2)
library(DataExplorer)
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
All.merged.thickness <- read.csv("/projects/neda/FINAL.ANALYSIS.T1/QCd_All_data/cort.thickness.All.csv")
All.merged.thickness$EduCateg <- as.factor(All.merged.thickness$EduCateg)
All.merged.thickness$Sex <- as.factor(All.merged.thickness$Sex)
## rows columns discrete_columns continuous_columns all_missing_columns
## 1 331 80 6 74 0
## total_missing_values complete_rows total_observations memory_usage
## 1 94 237 26480 253272
## 1 columns ignored with more than 50 categories.
## ID: 331 categories
## 3 features with more than 5 categories ignored!
## ID: 331 categories
## Dx: 7 categories
## EduCateg: 9 categories
#create_report(All.subcort.Vol)
Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.