Special Characters? (flowViz | R question)
1
0
Entering edit mode
M. Jankowski ▴ 160
@m-jankowski-2199
Last seen 9.6 years ago
Hi All, Thank you all very much for your previous help answering my newbie questions! I am working my way through the filter.pdf document that pertains to the flowViz package. When I copy this text from the *.pdf: xyplot(`SSC-H` ~ `FSC-H` | Visit, data = GvHD, filter = n2gate, displayFilter = TRUE, subset = Patient == "6") I see the plot indicated in the pdf. Type in this: xyplot('SSC-H' ~ 'FSC-H' | Visit, data = GvHD, filter=n2gate, displayFilter=TRUE, subset = Patient == "6") and I get a bunch of errors. The difference seems to be ' vs `. What is reason for using ` vs ' or even "? Is there a resource that I can use to look up special characters like this? I've searched through the help files/etc. and no luck so far. Thanks! Matt There were 42 warnings (use warnings() to see them) > warnings() Warning messages: 1: NAs introduced by coercion in: as.double.default(x) 2: NAs introduced by coercion in: as.double.default(y) 3: no non-missing arguments to min; returning Inf in: min(x[, id]) 4: no non-missing arguments to max; returning -Inf in: max(x[, id]) 5: no non-missing arguments to min; returning Inf in: min(x[, id]) 6: no non-missing arguments to max; returning -Inf in: max(x[, id]) 7: NAs introduced by coercion in: as.double.default(x) 8: NAs introduced by coercion in: as.double.default(y) 9: no non-missing arguments to min; returning Inf in: min(x[, id]) 10: no non-missing arguments to max; returning -Inf in: max(x[, id]) 11: no non-missing arguments to min; returning Inf in: min(x[, id]) 12: no non-missing arguments to max; returning -Inf in: max(x[, id]) 13: NAs introduced by coercion in: as.double.default(x) 14: NAs introduced by coercion in: as.double.default(y) 15: no non-missing arguments to min; returning Inf in: min(x[, id]) 16: no non-missing arguments to max; returning -Inf in: max(x[, id]) 17: no non-missing arguments to min; returning Inf in: min(x[, id]) 18: no non-missing arguments to max; returning -Inf in: max(x[, id]) 19: NAs introduced by coercion in: as.double.default(x) 20: NAs introduced by coercion in: as.double.default(y) 21: no non-missing arguments to min; returning Inf in: min(x[, id]) 22: no non-missing arguments to max; returning -Inf in: max(x[, id]) 23: no non-missing arguments to min; returning Inf in: min(x[, id]) 24: no non-missing arguments to max; returning -Inf in: max(x[, id]) 25: NAs introduced by coercion in: as.double.default(x) 26: NAs introduced by coercion in: as.double.default(y) 27: no non-missing arguments to min; returning Inf in: min(x[, id]) 28: no non-missing arguments to max; returning -Inf in: max(x[, id]) 29: no non-missing arguments to min; returning Inf in: min(x[, id]) 30: no non-missing arguments to max; returning -Inf in: max(x[, id]) 31: NAs introduced by coercion in: as.double.default(x) 32: NAs introduced by coercion in: as.double.default(y) 33: no non-missing arguments to min; returning Inf in: min(x[, id]) 34: no non-missing arguments to max; returning -Inf in: max(x[, id]) 35: no non-missing arguments to min; returning Inf in: min(x[, id]) 36: no non-missing arguments to max; returning -Inf in: max(x[, id]) 37: NAs introduced by coercion in: as.double.default(x) 38: NAs introduced by coercion in: as.double.default(y) 39: no non-missing arguments to min; returning Inf in: min(x[, id]) 40: no non-missing arguments to max; returning -Inf in: max(x[, id]) 41: no non-missing arguments to min; returning Inf in: min(x[, id]) 42: no non-missing arguments to max; returning -Inf in: max(x[, id]) >
flowViz flowViz • 1.4k views
ADD COMMENT
0
Entering edit mode
@keith-satterley-1452
Last seen 9.5 years ago
Australia
Hi Matt, try the help info on quotes, using the command: ?Quotes Hope it helps, cheers, Keith ======================== Keith Satterley Bioinformatics Division The Walter and Eliza Hall Institute of Medical Research Parkville, Melbourne, Victoria, Australia ======================= M. Jankowski wrote: > Hi All, > > Thank you all very much for your previous help answering my newbie questions! > > I am working my way through the filter.pdf document that pertains to > the flowViz package. When I copy this text from the *.pdf: > > xyplot(`SSC-H` ~ `FSC-H` | Visit, data = GvHD, filter = n2gate, > displayFilter = TRUE, subset = Patient == "6") > > I see the plot indicated in the pdf. Type in this: > > xyplot('SSC-H' ~ 'FSC-H' | Visit, data = GvHD, filter=n2gate, > displayFilter=TRUE, subset = Patient == "6") > > and I get a bunch of errors. The difference seems to be ' vs `. What > is reason for using ` vs ' or even "? Is there a resource that I can > use to look up special characters like this? I've searched through the > help files/etc. and no luck so far. > > Thanks! > Matt > > > There were 42 warnings (use warnings() to see them) >> warnings() > Warning messages: > 1: NAs introduced by coercion in: as.double.default(x) > 2: NAs introduced by coercion in: as.double.default(y) > 3: no non-missing arguments to min; returning Inf in: min(x[, id]) > 4: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 5: no non-missing arguments to min; returning Inf in: min(x[, id]) > 6: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 7: NAs introduced by coercion in: as.double.default(x) > 8: NAs introduced by coercion in: as.double.default(y) > 9: no non-missing arguments to min; returning Inf in: min(x[, id]) > 10: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 11: no non-missing arguments to min; returning Inf in: min(x[, id]) > 12: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 13: NAs introduced by coercion in: as.double.default(x) > 14: NAs introduced by coercion in: as.double.default(y) > 15: no non-missing arguments to min; returning Inf in: min(x[, id]) > 16: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 17: no non-missing arguments to min; returning Inf in: min(x[, id]) > 18: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 19: NAs introduced by coercion in: as.double.default(x) > 20: NAs introduced by coercion in: as.double.default(y) > 21: no non-missing arguments to min; returning Inf in: min(x[, id]) > 22: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 23: no non-missing arguments to min; returning Inf in: min(x[, id]) > 24: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 25: NAs introduced by coercion in: as.double.default(x) > 26: NAs introduced by coercion in: as.double.default(y) > 27: no non-missing arguments to min; returning Inf in: min(x[, id]) > 28: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 29: no non-missing arguments to min; returning Inf in: min(x[, id]) > 30: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 31: NAs introduced by coercion in: as.double.default(x) > 32: NAs introduced by coercion in: as.double.default(y) > 33: no non-missing arguments to min; returning Inf in: min(x[, id]) > 34: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 35: no non-missing arguments to min; returning Inf in: min(x[, id]) > 36: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 37: NAs introduced by coercion in: as.double.default(x) > 38: NAs introduced by coercion in: as.double.default(y) > 39: no non-missing arguments to min; returning Inf in: min(x[, id]) > 40: no non-missing arguments to max; returning -Inf in: max(x[, id]) > 41: no non-missing arguments to min; returning Inf in: min(x[, id]) > 42: no non-missing arguments to max; returning -Inf in: max(x[, id]) > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
ADD COMMENT

Login before adding your answer.

Traffic: 1048 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6