questions/data-science
You can use reshape2 library: library(reshape2) data <- read.table(text="type ...READ MORE
You can use the reshape function reshape(data, idvar ...READ MORE
You can use factor(ff) to drop levels ...READ MORE
There are 2 options: Either you can use ...READ MORE
If you have small number of variables, ...READ MORE
Try the below option: detach("package:vegan", unload=TRUE) NOTE: You can ...READ MORE
You can use the exists(): > exists("toFindUnknown") [1] FALSE > ...READ MORE
You can use showWarnings = FALSE NOTE: showWarnings ...READ MORE
You can try nchar > nchar("fast") [1] 4 > set.seed(10) > ...READ MORE
Here's an example to explain : Two files ...READ MORE
5 ways to measure running time of ...READ MORE
By Using gridExtra library we can easily ...READ MORE
Consider for both the situations: 1. Image will ...READ MORE
If you have your file located locally ...READ MORE
You can use the paste() command: You can ...READ MORE
You can try out the below code ...READ MORE
You can use the plyr function: data <- ...READ MORE
To replace all the variables to character ...READ MORE
colnames(Samp)[2] <- "newname2" This sets the name of ...READ MORE
Initialize with empty vectors: data <- data.frame(Date=as.Date(character()), ...READ MORE
You can use mtabulate in the following way: library(qdapTools) cbind(data[1], ...READ MORE
First we should have some data: df1<-data.frame(matrix(rnorm(20), nrow=10)) > ...READ MORE
.SD stands for "Subset of Data.table". The ...READ MORE
According to the document if you set limits manually, ...READ MORE
R provides 3 basic indexing operators. Refer ...READ MORE
You can use the reshape2 package for ...READ MORE
Let's assume your list of lists is ...READ MORE
You can use the merge function with ...READ MORE
You can either use group_by or group_by_at Using ...READ MORE
You can use reduce set.seed(24) r1 <- map(c(5, 10, ...READ MORE
If you use tidyverse, you can use ...READ MORE
Yes there are so many ways: df[,c(V2,V4)] and another ...READ MORE
Easily you can do it: drops <- c("V2","V4") df1[ ...READ MORE
It is simple and easy: df1<-as.data.frame(matrix(sample(c(NA, 1:10), 100, ...READ MORE
An excellent example must consist of the ...READ MORE
You can try the below code as ...READ MORE
it is easily achievable by using "stringr" ...READ MORE
Basically all we have to do is ...READ MORE
For avoiding rowwise(), I prefer to use ...READ MORE
I am assuming that your columns are ...READ MORE
You can use map() call as follows: map(full, ...READ MORE
You can use Reduce set.seed(24) r1 <- map(c(5, 10, 15), ...READ MORE
You can use the hash from digest ...READ MORE
By assuming that all the values are ...READ MORE
Basically here we are making an equation ...READ MORE
You need not spread twice, if you ...READ MORE
You can use pmap as follows: nc <- ...READ MORE
Build the randomForest model on top of ...READ MORE
Use type='probs' inside predict() function, so that ...READ MORE
Your first task would be to build ...READ MORE
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