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Data:
0.5612.9 0.797.4 0.6812.2 0.6612.8 0.377.4 0.716.7 0.3512.6 0.5514.8 0.7613.3 0.4911.1 0.568.2 0.6011.4 0.446.4 0.5510.6 0.5812.0 0.406.3 0.4211.3 0.5811.9 0.649.3 0.589.6 0.4410.0 0.466.4 0.6413.8 0.5910.8 0.5413.8 0.7111.7 0.2010.9 0.8916.1 0.5513.4 0.719.9 0.4811.5 0.498.3 0.5811.7 0.786.1 0.719.0 0.519.7 0.6510.8 0.6810.3 0.2410.4 0.3612.7 0.659.3 0.7911.8 0.675.9 0.7411.4 0.7213.0 0.7310.8 0.5812.3 0.6711.3 0.4311.8 0.597.9 0.4312.7 0.8012.3 0.7411.6 0.436.7 0.7210.9 0.5012.1 0.4513.3 0.8810.1 0.675.7 0.3214.3 0.208.0 0.8413.3 0.839.3 0.6512.5 0.747.6 0.5315.9 0.589.2 0.659.1 0.6411.1 0.6013.0 0.5214.5 0.5312.2 0.7312.3 0.5211.4 0.618.8 0.7314.6 0.797.3 0.2912.6 0.86NA 0.3713.0 0.6812.6 0.5213.2 0.269.9 0.747.7 0.7210.5 0.2413.4 0.7110.9 0.594.3 0.2710.3 0.5711.8 0.5111.2 0.6911.4 0.698.6 0.5013.2 0.6312.6 0.655.6 0.549.9 0.698.8 0.527.7 0.539.0 0.747.3 0.7311.4 0.7513.6 0.707.9 0.6910.7 0.5710.3 0.148.3 0.429.6 0.4814.2 0.278.5 0.2113.5 0.414.9 0.566.4 0.449.6 0.5211.6 0.5911.1 0.734.35 0.7912.7 0.6718.1 0.8817.85 0.9616.6 0.4312.6 0.8417.1 0.8119.1 0.6716.1 0.4513.35 0.5818.4 0.7014.7 0.6110.6 0.4412.6 0.5416.2 0.4113.6 0.6618.9 0.8314.1 0.8814.5 0.4016.15 0.5414.75 0.6014.8 0.5712.45 0.5912.65 0.8117.35 0.518.6 0.6518.4 0.5916.1 0.6811.6 0.6517.75 0.0615.25 0.7417.65 0.2915.6 0.7316.35 0.5417.65 0.3913.6 0.2711.7 0.4014.35 0.2014.75 0.8518.25 0.429.9 0.6816 0.7218.25 0.5216.85 0.7814.6 0.6013.85 0.9318.95 0.7315.6 0.8114.85 0.5111.75 0.8618.45 0.6715.9 0.5017.1 0.7416.1 0.8519.9 0.7510.95 0.8318.45 0.8215.1 0.5815 0.7211.35 0.8915.95 0.5118.1 0.7514.6 0.8415.4 0.8415.4 0.5917.6 0.6413.35 0.4519.1 0.5715.35 0.587.6 0.7213.4 0.3813.9 0.6819.1 0.4515.25 0.5512.9 0.7316.1 0.7317.35 0.7313.15 0.7112.15 0.3812.6 0.7910.35 0.3215.4 0.629.6 0.4218.2 0.4513.6 0.9714.85 0.6714.75 0.0814.1 0.4914.9 0.6616.25 0.6719.25 0.5513.6 0.5513.6 0.4915.65 0.5612.75 0.6914.6 0.479.85 0.6812.65 0.4311.9 0.0019.2 0.4816.6 0.7711.2 0.7115.25 0.4311.9 0.5013.2 0.6816.35 0.3412.4 0.4715.85 0.3314.35 0.8018.15 0.7411.15 0.8215.65 0.5717.75 0.467.65 0.9112.35 0.4115.6 0.6419.3 0.5815.2 0.4517.1 0.7715.6 0.6718.4 0.5319.05 0.0718.55 0.6519.1 0.7613.1 0.5612.85 0.079.5 0.724.5 0.6111.85 0.4713.6 0.0611.7 0.3712.4 0.7613.35 0.4711.4 0.5514.9 0.8519.9 0.7717.75 0.7911.2 0.7014.6 0.4617.6 0.5114.05 0.6516.1 0.5713.35 0.6811.85 0.5211.95 0.7014.75 0.4615.15 0.8813.2 0.7616.85 0.747.85 0.567.7 0.4712.6 0.447.85 0.7510.95 0.7812.35 0.269.95 0.5514.9 0.4916.65 0.8113.4 0.4513.95 0.3915.7 0.8916.85 0.6610.95 0.3415.35 0.8412.2 0.0515.1 0.7917.75 0.6015.2 0.6914.6 0.5816.65 0.668.1
R Code
library(moments) agostino <- agostino.test(x) anscombe <- anscombe.test(x) geary <- geary(x) jarque <- jarque.test(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Skewness and Kurtosis Test',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('agostino'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('anscombe'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('jarque'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('geary'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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