You probably need a bed file which is a collection of reads per line with chromosome position, starting and ending position and an optional strand info. You can always convert your peak file to bed file using cut -f1,2,3 peaks.xls > file.bed if there is no header else sed -e '1,23d' peaks.xls | cut -f1,2,3 > peaks.bed, whatever the length of header is. But the problem with this bed file is, you have already calculated the fold enrichment against the control or the local noise of sample itself, so the pileup or coverage per base wont work as you dont have read info to get the coverage among them. If you get one in future, you can use bedtools utility to get coverage per base as genomeCoverageBed –i file.bed –g my.genome –d > sample.cov. Height is just the height of peak summit, ChIPsequences is the number of reads in sample and IgGsequences is the number of reads in your mock controls in that specific region and I don't know, how it can be used to get this coverage per base info. Also, I am not sure what do you mean by peak shape, may be you want a wig/bigwig file for your peak visualization is UCSC/IGV browser. There is another good tool called pyicos, where you can convert your bed file to bedpk file and get a peak area for each peak.

Cheers