r:deleting_columns_in_data_frame_by_names
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r:deleting_columns_in_data_frame_by_names [2017/12/21 07:25] – created hkimscil | r:deleting_columns_in_data_frame_by_names [2017/12/21 07:30] (current) – hkimscil | ||
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</ | </ | ||
+ | Then, we do fa again with efa_a data. | ||
+ | < | ||
+ | > efa_a.fa.4 | ||
+ | Factor Analysis using method = minres | ||
+ | Call: fa(r = efa_a, nfactors = 4, rotate = " | ||
+ | Standardized loadings (pattern matrix) based upon correlation matrix | ||
+ | MR1 | ||
+ | Price 0.54 0.11 0.01 -0.05 0.31 0.69 1.1 | ||
+ | Safety | ||
+ | Exterior_Looks | ||
+ | Space_comfort | ||
+ | After_Sales_Service | ||
+ | Resale_Value | ||
+ | Fuel_Type | ||
+ | Fuel_Efficiency | ||
+ | Color 0.20 -0.06 0.27 0.69 0.59 0.41 1.5 | ||
+ | Maintenance | ||
+ | Test_drive | ||
+ | Product_reviews | ||
+ | Testimonials | ||
+ | | ||
+ | SS loadings | ||
+ | Proportion Var 0.13 0.11 0.09 0.08 | ||
+ | Cumulative Var 0.13 0.24 0.33 0.41 | ||
+ | Proportion Explained | ||
+ | Cumulative Proportion 0.33 0.59 0.81 1.00 | ||
+ | |||
+ | Mean item complexity = 1.6 | ||
+ | Test of the hypothesis that 4 factors are sufficient. | ||
+ | |||
+ | The degrees of freedom for the null model are 78 and the objective function was 2.76 with Chi Square of 231.56 | ||
+ | The degrees of freedom for the model are 32 and the objective function was 0.48 | ||
+ | |||
+ | The root mean square of the residuals (RMSR) is 0.05 | ||
+ | The df corrected root mean square of the residuals is 0.07 | ||
+ | |||
+ | The harmonic number of observations is 90 with the empirical chi square | ||
+ | The total number of observations was 90 with Likelihood Chi Square = 38.68 with prob < 0.19 | ||
+ | |||
+ | Tucker Lewis Index of factoring reliability = 0.889 | ||
+ | RMSEA index = 0.06 and the 90 % confidence intervals are 0 0.097 | ||
+ | BIC = -105.32 | ||
+ | Fit based upon off diagonal values = 0.95 | ||
+ | Measures of factor score adequacy | ||
+ | | ||
+ | Correlation of (regression) scores with factors | ||
+ | Multiple R square of scores with factors | ||
+ | Minimum correlation of possible factor scores | ||
+ | > | ||
+ | > fa.sort(efa_a.fa.4) | ||
+ | Factor Analysis using method = minres | ||
+ | Call: fa(r = efa_a, nfactors = 4, rotate = " | ||
+ | Standardized loadings (pattern matrix) based upon correlation matrix | ||
+ | MR1 | ||
+ | Resale_Value | ||
+ | Maintenance | ||
+ | Price 0.54 0.11 0.01 -0.05 0.31 0.69 1.1 | ||
+ | Fuel_Efficiency | ||
+ | Space_comfort | ||
+ | Fuel_Type | ||
+ | After_Sales_Service | ||
+ | Safety | ||
+ | Testimonials | ||
+ | Product_reviews | ||
+ | Test_drive | ||
+ | Color 0.20 -0.06 0.27 0.69 0.59 0.41 1.5 | ||
+ | Exterior_Looks | ||
+ | |||
+ | | ||
+ | SS loadings | ||
+ | Proportion Var 0.13 0.11 0.09 0.08 | ||
+ | Cumulative Var 0.13 0.24 0.33 0.41 | ||
+ | Proportion Explained | ||
+ | Cumulative Proportion 0.33 0.59 0.81 1.00 | ||
+ | |||
+ | Mean item complexity = 1.6 | ||
+ | Test of the hypothesis that 4 factors are sufficient. | ||
+ | |||
+ | The degrees of freedom for the null model are 78 and the objective function was 2.76 with Chi Square of 231.56 | ||
+ | The degrees of freedom for the model are 32 and the objective function was 0.48 | ||
+ | |||
+ | The root mean square of the residuals (RMSR) is 0.05 | ||
+ | The df corrected root mean square of the residuals is 0.07 | ||
+ | |||
+ | The harmonic number of observations is 90 with the empirical chi square | ||
+ | The total number of observations was 90 with Likelihood Chi Square = 38.68 with prob < 0.19 | ||
+ | |||
+ | Tucker Lewis Index of factoring reliability = 0.889 | ||
+ | RMSEA index = 0.06 and the 90 % confidence intervals are 0 0.097 | ||
+ | BIC = -105.32 | ||
+ | Fit based upon off diagonal values = 0.95 | ||
+ | Measures of factor score adequacy | ||
+ | | ||
+ | Correlation of (regression) scores with factors | ||
+ | Multiple R square of scores with factors | ||
+ | Minimum correlation of possible factor scores | ||
+ | > | ||
+ | </ | ||
+ | |||
+ | We see four factors, of which names might be as follow: | ||
+ | * MR1: economic factor | ||
+ | * MR2: convenience factor | ||
+ | * MR3: information (review) factor | ||
+ | * MR4: look factor | ||
+ | < | ||
+ | Resale_Value | ||
+ | Maintenance | ||
+ | Price 0.54 0.11 0.01 -0.05 0.31 0.69 1.1 | ||
+ | Fuel_Efficiency | ||
+ | ---- | ||
+ | Space_comfort | ||
+ | Fuel_Type | ||
+ | After_Sales_Service | ||
+ | Safety | ||
+ | ---- | ||
+ | Testimonials | ||
+ | Product_reviews | ||
+ | Test_drive | ||
+ | ---- | ||
+ | Color 0.20 -0.06 0.27 0.69 0.59 0.41 1.5 | ||
+ | Exterior_Looks | ||
+ | </ |
r/deleting_columns_in_data_frame_by_names.1513810508.txt.gz · Last modified: 2017/12/21 07:25 by hkimscil