README edited

README.md

@@ -12,18 +12,18 @@ BeadChip (Illumina 450K) data when there are samples from multiple tissues or ce
 </pre>
 If you have difficulties with direct istallation from github you can download and install source with R CMD build and install commands:
 <pre>
->git clone https://github.com/adminGreenwoodLab/funtooNorm.git
->R CMD build ./funtooNorm
->R CMD INSTALL funtooNorm_N.NN.N.tar.gz
+$git clone https://github.com/adminGreenwoodLab/funtooNorm.git
+$R CMD build ./funtooNorm
+$R CMD INSTALL funtooNorm_N.NN.N.tar.gz
 </pre>
 
 ## Usage
 
 There are two functions in the package, <i>funtoonorm</i> and <i>agreement</i>. 
 
-The output of <i>funtoonorm</i> function is a normalized methylation data set of beta values and raw, not normalized beta values. As an input, user needs to have matrices with signal A and signal B extracted from Illumina IDAT files, as well as control probes signals. The function also requires a list of cell types or tissues. Besides its main purpose of normalization, <i>funtoonorm</i> can be run in validation regime and its graphical output is used to choose optimal parameters for normalization.  
+The output of <i>funtoonorm</i> function is a normalized methylation data set of beta values and raw, not normalized beta values. As an input, user needs to have matrices with signal A and signal B extracted from Illumina IDAT files, as well as control probes signals. The function also requires a list of cell types or tissues. Besides its main purpose of normalization, <i>funtoonorm</i> can be run in a validation regime and its graphical output is used to choose optimal parameters for normalization.  
 
-Function <i>agreement</i> accesses the performance of normalization measuring intra-replicate differences before and after normalization. It takes outpit of <i>funtoonorm</i> as an input.
+Function <i>agreement</i> accesses the performance of normalization measuring intra-replicate differences before and after normalization. It takes output of <i>funtoonorm</i> as an input.
 
 For more details, see the vignette provided in package.