Data summary Expand All | Contract All
  • No. of cases: 113
  • Name1 ( string )
    •     AM_1      Eri  IC_4499    Lil_1  NGC_104 NGC_1261 NGC_1841 NGC_1851 
             1        1        1        1        1        1        1        1 
      NGC_1904 NGC_2298 NGC_2419 NGC_2808  NGC_288 NGC_3201  NGC_362 NGC_4147 
             1        1        1        1        1        1        1        1 
      NGC_4372 NGC_4590 NGC_4833 NGC_5024 NGC_5053 NGC_5139 NGC_5272 NGC_5286 
             1        1        1        1        1        1        1        1 
      NGC_5466 NGC_5634 NGC_5694 NGC_5824 NGC_5897 NGC_5904 NGC_5927 NGC_5946 
             1        1        1        1        1        1        1        1 
      NGC_5986 NGC_6093 NGC_6101 NGC_6121 NGC_6139 NGC_6144 NGC_6171 NGC_6205 
             1        1        1        1        1        1        1        1 
      NGC_6218 NGC_6229 NGC_6235 NGC_6254 NGC_6256 NGC_6266 NGC_6273 NGC_6284 
             1        1        1        1        1        1        1        1 
      NGC_6287 NGC_6293 NGC_6304 NGC_6316 NGC_6325 NGC_6333 NGC_6341 NGC_6342 
             1        1        1        1        1        1        1        1 
      NGC_6352 NGC_6355 NGC_6356 NGC_6362 NGC_6366 NGC_6380 NGC_6388 NGC_6397 
             1        1        1        1        1        1        1        1 
      NGC_6401 NGC_6402 NGC_6440 NGC_6441 NGC_6453 NGC_6496 NGC_6517 NGC_6522 
             1        1        1        1        1        1        1        1 
      NGC_6528 NGC_6535 NGC_6539 NGC_6541 NGC_6544 NGC_6553 NGC_6558 NGC_6569 
             1        1        1        1        1        1        1        1 
      NGC_6584 NGC_6624 NGC_6626 NGC_6637 NGC_6638 NGC_6642 NGC_6652 NGC_6656 
             1        1        1        1        1        1        1        1 
      NGC_6681 NGC_6712 NGC_6715 NGC_6717 NGC_6723 NGC_6749 NGC_6752 NGC_6760 
             1        1        1        1        1        1        1        1 
      NGC_6779 NGC_6809 NGC_6838  (Other) 
             1        1        1       14 
      
      
  • Gal.long ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        0.072  15.140 151.100 169.200 333.000 359.600 
      
      
  • Gal.lat ( numeric )
    •     Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
      -89.3800 -14.0900  -3.8730  -0.2057  10.7000  79.7600 
      
      
  • R.sol ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         2.10    6.60    9.20   13.85   13.80  116.40 
      
      
  • R.GC ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         0.90    3.10    6.00   11.66   12.10  117.90 
      
      
  • Metal ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
       -2.400  -1.810  -1.560  -1.409  -1.010  -0.070 
      
      
  • Mv ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
      -10.400  -8.290  -7.380  -7.428  -6.640  -3.300 
      
      
  • r.core ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        0.100   0.500   0.900   1.795   1.900  12.000 
      
      
  • r.tidal ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         6.50   21.90   32.50   41.56   51.70  284.80 
      
      
  • Conc ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         0.72    1.26    1.53    1.54    1.80    2.54 
      
      
  • log.t ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        6.250   7.500   8.090   8.094   8.600  10.050 
      
      
  • log.rho ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        0.000   3.120   3.980   3.691   4.590   6.140 
      
      
  • S0 ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        0.680   3.940   5.640   6.222   8.190  19.130 
      
      
  • V.esc ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         2.40   14.90   22.40   25.07   33.00   78.20 
      
      
  • VHB ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        12.90   15.60   16.52   16.63   17.38   24.40 
      
      
  • E.B.V ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
       0.0000  0.0500  0.2100  0.3258  0.4500  2.9100 
      
      
  • Vt ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        3.520   7.290   8.360   8.601   9.480  15.840 
      
      
  • CSBt ( numeric )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
        5.230   7.700   8.990   9.146  10.200  14.970 
      
      
  • rowIndex ( integer )
    •    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
         1.00   39.00   77.00   79.11  122.00  154.00 
      
      
The variable rowIndex is created by VOStat. This may be used as a time variable for time series data.

The following row(s) of the original data set have/has been deleted, because of missing value(s):

5, 6, 9, 16, 18, 19, 22, 23, 26, 34, 40, 45, 47, 53, 55, 62, 68, 72, 73, 74, 81, 84, 85, 86, 89, 91, 95, 96, 97, 98, 102, 103, 105, 107, 116, 117, 119, 137, 139, 140, 142
[See our missing data policy]

Step 2: Choose an analysis

VOStat provides the following help icons throughout a session:
  • wikihelpLink to Wikepedia entries.
  • nisthelpLink to NIST webpages.
  • cranhelpLink to CRAN packages documentations.

Transforming and subsetting the data

Plots and summaries

Estimating distribution from data

Comparing data with distributions

Some standard tests

  • One sample z-test to compare the mean of a variable with some given number. This test is applicable only if you know (or have a very good approximation for) the standard deviation of your variable. (Requires Gaussianity assumption.)
  • One sample t-test. Similar to above, except that you do not need to know the standard deviation. (Requires Gaussianity assumption.)
  • Paired t-test for comparing the means of two variables. (Requires Gaussianity assumption.)
  • Wilcoxon's signed rank test (1 sample). Much like one sample t-test, but without the Gaussianity assumption.
  • Wilcoxon's signed rank test (2 sample). Much like paired t-test, but without the Gaussianity assumption.

Regression

Multivariate methods

Spatial methods

Directional statistics

Survival analysis

Time series analysis