Dear all;
Thanks. Here are the dput results as Duncan suggested.
Regards,
Greg
structure(list(Sub_Pathways = structure(c(3L, 3L, 3L, 3L, 3L), .Label
c("Acetylated_Peptides",
"Advanced_Glycation_End-product", "Alanine_and_Aspartate",
"Aminosugar",
"Ascorbate_and_Aldarate", "Carnitine",
"Ceramides", "Creatine",
"Diacylglycerol", "Dipeptide",
"Dipeptide_Derivative",
"Disaccharides_and_Oligosaccharides",
"Eicosanoid", "Endocannabinoid",
"Fatty_Acid(Acyl_Carnitine)",
"Fatty_Acid(Acyl_Glycine)", "Fatty_Acid,_Amino",
"Fatty_Acid,_Branched",
"Fatty_Acid,_Dicarboxylate", "Fatty_Acid,_Dihydroxy",
"Fatty_Acid,_Monohydroxy",
"Fatty_Acid_(Acyl_Choline)", "Fatty_Acid_(Acyl_Glutamine)",
"Fatty_Acid_(also_BCAA)",
"Fatty_Acid_Synthesis", "Fibrinogen_Cleavage_Peptide",
"Fructose,_Mannose_and_Galactose",
"Gamma-glutamyl_Amino_Acid", "Glutamate",
"Glutathione", "Glycerolipid",
"Glycine,_Serine_and_Threonine", "Glycogen",
"Glycolysis,_Gluconeogenesis,_and_Pyruvate",
"Guanidino_and_Acetamido", "Hemoglobin_and_Porphyrin",
"Histidine",
"Inositol", "Ketone_Bodies",
"Leucine,_Isoleucine_and_Valine",
"Long_Chain_Fatty_Acid", "Lysine",
"Lyso-phospho-ether", "Lysolipid",
"Lysoplasmalogen", "Medium_Chain_Fatty_Acid",
"Methionine,_Cysteine,_SAM_and_Taurine",
"Mevalonate", "Monoacylglycerol",
"Nicotinate_and_Nicotinamide",
"Oxidative_Phosphorylation", "Pantothenate_and_CoA",
"Pentose",
"Phenylalanine_and_Tyrosine", "Phospholipid",
"Plasmalogen",
"Polyamine", "Polypeptide",
"Polyunsaturated_Fatty_Acid_(n3_and_n6)",
"Primary_Bile_Acid",
"Purine,_(Hypo)Xanthine/Inosine_containing",
"Purine,_Adenine_containing", "Purine,_Guanine_containing",
"Pyrimidine,_Cytidine_containing",
"Pyrimidine,_Orotate_containing",
"Pyrimidine,_Thymine_containing",
"Pyrimidine,_Uracil_containing", "Riboflavin",
"Secondary_Bile_Acid",
"Short_Chain_Fatty_Acid", "Sphingolipid",
"Steroid", "Sterol",
"TCA_Cycle", "Tocopherol", "Tryptophan",
"Urea_cycle;_Arginine_and_Proline",
"Vitamin_A", "Vitamin_B6"), class = "factor"),
BMI_beta = c(0.2382,
-0.313, 0.1238, 0.3035, -0.00982), SAT_beta = c(-0.02409, -1.9751,
0.4095, 0.4861, 0.3293), VAT_beta = c(0.9418, -2.2204, 0.6805,
0.7083, 0.01597), VSR_beta = c(0.2469, -0.2354, 0.05539, 0.01337,
-0.04353)), .Names = c("Sub_Pathways", "BMI_beta",
"SAT_beta",
"VAT_beta", "VSR_beta"), row.names = c(NA, 5L), class =
"data.frame")
On Tue, Sep 19, 2017 at 10:04 AM, Duncan Murdoch <murdoch.duncan at
gmail.com>
wrote:
> On 19/09/2017 9:47 AM, greg holly wrote:
>
>> Hi all;
>>
>> I have data at 734*22 dimensions with rows and columns names are
>> non-numeric.When I convert this data into matrix then all values show
up
>> with quotes. Then when I use
>> x1= noquotes(x) to remove the quotes from the matrix then non-numeric
row
>> names remain all other values in matrix disappear.
>>
>> Your help is greatly appreciated.
>>
>>
>
> Matrices in R can have only one type. If you start with a dataframe and
> any columns contain character data, all entries will be converted to
> character, and the matrix will be displayed with quotes.
>
> When you say all values disappear, it sounds as though you are displaying
> strings containing nothing (or just blanks). Those will be displayed as
""
> normally, but if the matrix is marked to display without quotes, they are
> displayed as empty strings, so it will appear that nothing is displayed.
>
> You can see the structure of the original data using the str() function,
> e.g. str(x) should display types for each column.
>
> If this isn't enough to explain what's going on, please show us
more
> detail. For example, show us the result of
>
> y <- x[1:5, 1:5]
> dput(y)
>
> both before and after converting x to a matrix.
>
> Duncan Murdoch
>
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