Beispiel #1
0
        private string GetEffectModel()
        {
            //assemble the effect model
            StringBuilder effectModel = new StringBuilder(Response + "~"); //add in the response

            if (Covariates != null)
            {
                effectModel.Append(String.Join('+', Covariates) + '+');
            }

            if (OtherDesignFactors != null)
            {
                effectModel.Append(String.Join('+', OtherDesignFactors) + '+');
            }

            //complicated business of assembling the other part of the model from the interactions etc...
            string[]      splitter           = { " * " };
            List <string> interactionEffects = new List <string>(SelectedEffect.Split(splitter, StringSplitOptions.RemoveEmptyEntries));

            foreach (string treat in Treatments)
            {
                if (!interactionEffects.Contains(treat))
                {
                    effectModel.Append(treat.Trim() + "+");
                }
            }

            return(effectModel + "mainEffect"); //where maineffect is the combined effect column of the selected effect in the dataset
        }
Beispiel #2
0
        public string GetEffectModel()
        {
            //assemble the effect model
            StringBuilder effectModel = new StringBuilder(Response + "~"); //add in the response

            if (Covariates != null)
            {
                effectModel.Append(String.Join('+', Covariates) + '+');
            }

            if (OtherDesignFactors != null)
            {
                effectModel.Append(String.Join('+', OtherDesignFactors) + '+');
            }

            //complicated business of assembling the other part of the model from the interactions etc...
            string[]      splitter           = { " * " };
            List <string> interactionEffects = new List <string>(SelectedEffect.Split(splitter, StringSplitOptions.RemoveEmptyEntries));

            List <string> factors = new List <string>(Treatments);

            factors.Add(RepeatedFactor); //add in time to the factors

            foreach (string s in factors)
            {
                if (!interactionEffects.Contains(s)) //only add on effects if the "mainEffect"/selected effect does not already have it
                {
                    effectModel.Append(s + "+");
                }
            }

            return(effectModel + "mainEffect"); //where maineffect is the combined effect column of the selected effect in the dataset
        }
Beispiel #3
0
        public override string[] ExportData()
        {
            DataTable dtNew = DataTable.CopyForExport();

            //Get the response, treatment and covariate columns by removing all other columns from the new datatable
            foreach (string columnName in dtNew.GetVariableNames())
            {
                if (Response != columnName && !Treatments.Contains(columnName) && (OtherDesignFactors == null || !OtherDesignFactors.Contains(columnName)) && (Covariates == null || !Covariates.Contains(columnName)))
                {
                    dtNew.Columns.Remove(columnName);
                }
            }

            //if the response is blank then remove that row
            dtNew.RemoveBlankRow(Response);

            //Generate a "catfact" column from the CatFactors (used only in R)!
            DataColumn catFactor = new DataColumn("catfact");

            dtNew.Columns.Add(catFactor);

            //Need to create a new column for the scatterplot data as we have to combine any interaction effects into one column
            dtNew.CreateCombinedEffectColumn(Treatments, "scatterPlotColumn");

            //If an interaction effect is selected then we need to combine values into single column
            if (!String.IsNullOrEmpty(SelectedEffect))
            {
                //create a new column and add it to the table
                if (SelectedEffect.Contains(" * ")) //then it is an interaction effect so we need to combine values from different columns
                {
                    char[]   splitChar = { '*' };
                    string[] effects   = SelectedEffect.Split(splitChar, StringSplitOptions.RemoveEmptyEntries); //get the effect names that make up the interaction effect

                    dtNew.CreateCombinedEffectColumn(effects, "mainEffect");
                }
                else //just copy the column selected in the dropdown
                {
                    DataColumn mainEffect = new DataColumn("mainEffect");
                    dtNew.Columns.Add(mainEffect);
                    foreach (DataRow r in dtNew.Rows)
                    {
                        r["mainEffect"] = r[SelectedEffect].ToString();
                    }
                }
            }

            //Now do transformations...
            dtNew.TransformColumn(Response, ResponseTransformation);

            if (Covariates != null)
            {
                foreach (string covariate in Covariates)
                {
                    dtNew.TransformColumn(covariate, CovariateTransformation);
                }
            }

            //Finally, as numeric categorical variables get misinterpreted by r, we need to go through
            //each column and put them in quotes...
            foreach (string treat in Treatments)
            {
                if (dtNew.CheckIsNumeric(treat))
                {
                    foreach (DataRow row in dtNew.Rows)
                    {
                        row[treat] = "'" + row[treat] + "'";
                    }
                }
            }

            if (OtherDesignFactors != null)
            {
                foreach (string odf in OtherDesignFactors)
                {
                    if (dtNew.CheckIsNumeric(odf))
                    {
                        foreach (DataRow row in dtNew.Rows)
                        {
                            row[odf] = "'" + row[odf] + "'";
                        }
                    }
                }
            }

            string[] csvArray = dtNew.GetCSVArray();

            //fix any columns with illegal chars here (at the end)
            ArgumentFormatter argFormatter = new ArgumentFormatter();

            csvArray[0] = argFormatter.ConvertIllegalCharacters(csvArray[0]);

            return(csvArray);
        }