R Markdown

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:

subject_name <-c("John Doe", "Jane Doe", "Steve Graves")
temperature <-c(98.1, 98.6, 101.4)
flu_status<-c(FALSE, FALSE,TRUE)
temperature[2]
## [1] 98.6
temperature[2:3]
## [1]  98.6 101.4
temperature[-2]
## [1]  98.1 101.4
gender<-factor(c("MALE", "FEMALE", "MALE"))
gender
## [1] MALE   FEMALE MALE  
## Levels: FEMALE MALE
blood <- factor(c("O", "AB", "A"),
levels=c("A", "B", "AB", "O"))
blood<-factor(c("o", "AB", "A"), levels =c("A", "B", "AB","O"))
blood
## [1] <NA> AB   A   
## Levels: A B AB O
symptoms<-factor(c("SEVERE", "MILD", "MODERATE"), levels=c("MILD", "MODERATE", "SEVERE"), ordered=TRUE)
symptoms
## [1] SEVERE   MILD     MODERATE
## Levels: MILD < MODERATE < SEVERE
symptoms>"MODERATE"
## [1]  TRUE FALSE FALSE
symptoms>="MODERATE"
## [1]  TRUE FALSE  TRUE
subject_name[1]
## [1] "John Doe"
temperature[1]
## [1] 98.1
flu_status[1]
## [1] FALSE
gender[1]
## [1] MALE
## Levels: FEMALE MALE
blood[1]
## [1] <NA>
## Levels: A B AB O
symptoms[1]
## [1] SEVERE
## Levels: MILD < MODERATE < SEVERE
pt_data<-data.frame(subject_name,temperature,flu_status,gender,blood,symptoms,stringsAsFactors = FALSE)
pt_data
##   subject_name temperature flu_status gender blood symptoms
## 1     John Doe        98.1      FALSE   MALE  <NA>   SEVERE
## 2     Jane Doe        98.6      FALSE FEMALE    AB     MILD
## 3 Steve Graves       101.4       TRUE   MALE     A MODERATE
pt_data$subject_name
## [1] "John Doe"     "Jane Doe"     "Steve Graves"
pt_data[2,]
##   subject_name temperature flu_status gender blood symptoms
## 2     Jane Doe        98.6      FALSE FEMALE    AB     MILD
pt_data[c(1,3), c(4,2)]
##   gender temperature
## 1   MALE        98.1
## 3   MALE       101.4
pt_data[c(1,3), c("temperature", "gender")]
##   temperature gender
## 1        98.1   MALE
## 3       101.4   MALE
pt_data$temp_c<-(pt_data$temperature-32)*(5/9)
pt_data
##   subject_name temperature flu_status gender blood symptoms   temp_c
## 1     John Doe        98.1      FALSE   MALE  <NA>   SEVERE 36.72222
## 2     Jane Doe        98.6      FALSE FEMALE    AB     MILD 37.00000
## 3 Steve Graves       101.4       TRUE   MALE     A MODERATE 38.55556

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.