This is my first RMD file
**** test.rmd - start - not to be included in the test.rmd file
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Ordered Lists
Unordered Lists - 1
* first item in list
* second item in list
* third item in list
Unordered Lists - 2
Block Quote
> Ordered Lists
> 1. first item in list
> 2. second item in list
> 3. third item in list
> Unordered Lists
> - first item in list
> - second item in list
> - third item in list
Block Code - 1
> Ordered Lists
> 1. first item in list
> 2. second item in list
> 3. third item in list
> Unordered Lists
> - first item in list
> - second item in list
> - third item in list
Image
# for development
knitr::opts_chunk$set(echo=TRUE, eval=TRUE, error=TRUE, warning=TRUE, message=TRUE, cache=FALSE, tidy=FALSE, fig.path='figures/')
# for production
knitr::opts_chunk$set(echo=TRUE, eval=TRUE, error=FALSE, warning=FALSE, message=FALSE, cache=FALSE, tidy=FALSE, fig.path='figures/')summary(cars)## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
you can also embed plots, for example:
plot(pressure)library(dplyr)
library(tidyr)dfrNifty <- read.csv("./data/nifty-data.csv", header=T, stringsAsFactors=F)
nrow(dfrNifty)## [1] 2100
head(dfrNifty)## RecDate Mkt Series Sector Symbol NameOfTheSecurityInNse
## 1 2014-12-01 N EQ Cement ACC ACC LIMITED
## 2 2014-12-01 N EQ Cement AMBUJACEM AMBUJA CEMENTS LTD
## 3 2014-12-01 N EQ FMCG ASIANPAINT ASIAN PAINTS LIMITED
## 4 2014-12-01 N EQ FinSrvc AXISBANK AXIS BANK LIMITED
## 5 2014-12-01 N EQ Auto BAJAJ-AUTO BAJAJ AUTO LIMITED
## 6 2014-12-01 N EQ FinSrvc BANKBARODA BANK OF BARODA
## PrevClose OpenPrice HighPrice LowPrice ClosePrice TradeValue TradeQty
## 1 1475.35 1476.00 1479.7 1461.15 1470.95 202553784 137735
## 2 229.90 229.25 233.5 228.55 230.35 348745207 1512068
## 3 744.70 753.95 802.2 753.10 797.05 2576774020 3291847
## 4 481.20 484.40 493.2 481.15 489.15 2267475272 4634567
## 5 2640.80 2642.50 2660.8 2613.05 2636.30 527142941 199683
## 6 1087.20 1091.00 1104.7 1074.35 1082.65 1447645708 1328730
## IndSec CoprInd Trades X52W_High X52W_Low
## 1 Y 6422 1564.65 970.15
## 2 Y 19712 243.80 150.10
## 3 Y 68366 802.20 460.20
## 4 Y 53177 2043.05 369.05
## 5 Y 10121 2695.00 1793.20
## 6 Y 29489 1104.70 511.15
maxSpeedVal <- max(cars$speed)
maxDistsVal <- max(cars$dist)The maximum speed is 25
The maximum dist is 120