What are some problems or challenges faced when transitionin

What are some problems or challenges faced when transitioning from Excel to R.

Solution

Excel is developed by microsoft which is used for storing data in the form of tables.and also we can manuplate and analysis the data by this spread sheet and it has many more wide advantages.R is used for analyze excel data and also to manuplate them.R also reads and writes excel data .from transferring excel content to R is quite difficult.and major hardness lies in loading excel files into R.
data is very important..data may be in your own personal system or should download from internet.
one thing you should remember befor loading excel data to R.you must get ready with prepared data .if you not prepared you will encounter many problems later in using funciton.
and one thing again is make sure that data is saved.they may be chance to add data or modification ..
vendorors provide with many options to save data.example microsoft provide save as option to safe..

after proper saving of your spread sheet data ..you should find a directory of R or set a directory of R.
you can know the curent working directory by a
command called
getwd();
this command is get working dirctory.
after getting the directory
the importing of spread sheet files to R is done now.
we can transfer spreadsheet files to R in more than one way
one is-by R commands

and the other is -by using packages .
now we just see what are the command that we have in R to import from spread sheet to R
all these comes by R utils package all the utilities are there in it
the commands are read.table()
read.csv()
read.csv2()
read.delim()etc
these are commands of R.these are basic R commands.
and we already stated that that another way for transfering to R.
package is another way.
so inorder to use package first of all we should install package
this is done by a command
install.package(\" \");
and finally we need make the package to perform functions..
and so far we just transfer from excel to R..
the important aspect lies in understanding modifieng and anlysing the data