diff --git a/README.org b/README.org
index 9e43b2a..74d3b74 100644
--- a/README.org
+++ b/README.org
@@ -145,7 +145,7 @@ This command selects the 265h line in the ecophysiological constants (EPC) file
 
 *** Study the effect of ecophysiological parameters using paramSweep
 
-The paramSweep function is the extension of the musoQuickEffect. It can test the effect of the selected parameters on the model results in once. The result of the paramSweep function is a single HTML file with embedded images. paramSweep needs a csv file called parameters.csv which defines the parameters of interest and the corresponding parameter intervals. In case of the hhs sample dataset there is an example parameters/csv file (please open it and check). Note that there is a tricky part in the parameters.csv as the parameter selection is not straightforward in case of multiple columns (see the end of the EPC file). The logic is that real numbers are used to select the appropriate parameter from multiple columns. In the provided example "keles,170.61,0,1000" means that in the 170th line of the EPC file there are 7 columns (numbering starts from 0, so it is 6), and we would like to adjust the 2nd column (marked by 1), which ends up with 170.61. 0,1000 means that sweep starts at 0 and ends with 1000. Invoke the paramSweep with simply issuing this command:
+The paramSweep function is the extension of the musoQuickEffect. It can test the effect of the selected parameters on the model results in once. The result of the paramSweep function is a single HTML file with embedded images. paramSweep needs a csv file called parameters.csv which defines the parameters of interest and the corresponding parameter intervals. In case of the hhs sample dataset there is an example parameters/csv file (please open it and check). The structure of the parameters.csv file is simple. First parameter name is needed (can be anything but should refer to the parameter), then the line number of the EPC file is provided, then the possible minimum and maximum value of the parameter is given. Note that there is a tricky part in the parameters.csv as the parameter selection is not straightforward in case of multiple columns (see the end of the EPC file). The logic is that real numbers are used to select the appropriate parameter from multiple columns. In the provided example "emergence,170.61,0,1000" means that in the 170th line of the EPC file there are 7 columns (numbering starts from 0, so it is 6), and we would like to adjust the 2nd column (marked by 1), which ends up with 170.61. 0,1000 means that sweep starts at 0 and ends with 1000. Invoke the paramSweep with simply issuing this command:
 
 #+BEGIN_SRC R :eval no
 paramSweep()