Jump to content

User:Staeiou/Journal/XLinkBot/WelcomeG

From Meta, a Wikimedia project coordination wiki

This test was for z97 vs z98: en:Template:Welcomeg-rand


# of edits after

[edit]
> summary(glm(edits_after ~ is_new*(ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = edits_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-27.186   -4.647   -3.146    0.117  140.353  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)         2.60692    0.68249   3.820 0.000143 ***
is_new              1.57196    0.96764   1.625 0.104604    
ns0_before          0.53918    0.11758   4.586 5.15e-06 ***
ns1_before          0.40699    2.53793   0.160 0.872630    
ns2_before         -0.18822    1.13716  -0.166 0.868574    
ns3_before         29.34446    9.61628   3.052 0.002342 ** 
ns4_before          6.67165    2.59498   2.571 0.010297 *  
ns5_before         -1.30437    3.49252  -0.373 0.708880    
is_new:ns0_before  -0.07125    0.15812  -0.451 0.652397    
is_new:ns1_before   4.60816    3.05488   1.508 0.131781    
is_new:ns2_before   1.37226    1.39276   0.985 0.324743    
is_new:ns3_before -31.80410   10.56944  -3.009 0.002692 ** 
is_new:ns4_before  -7.82620    3.72657  -2.100 0.035991 *  
is_new:ns5_before   5.73733   12.70547   0.452 0.651690    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 133.389)

    Null deviance: 137177  on 933  degrees of freedom
Residual deviance: 122718  on 920  degrees of freedom
AIC: 7236.8

Number of Fisher Scoring iterations: 2

Article edits after

[edit]

> summary(glm(formula = ns0_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns0_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-17.432   -4.069   -2.961    0.038  140.931  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)         2.50819    0.62762   3.996 6.95e-05 ***
is_new              1.08668    0.88985   1.221   0.2223    
ns0_before          0.45286    0.10813   4.188 3.08e-05 ***
ns1_before          0.17132    2.33390   0.073   0.9415    
ns2_before         -0.49074    1.04574  -0.469   0.6390    
ns3_before         19.20642    8.84323   2.172   0.0301 *  
ns4_before          4.06694    2.38637   1.704   0.0887 .  
ns5_before         -1.46944    3.21176  -0.458   0.6474    
is_new:ns0_before   0.02141    0.14541   0.147   0.8830    
is_new:ns1_before   4.50978    2.80930   1.605   0.1088    
is_new:ns2_before   0.81106    1.28079   0.633   0.5267    
is_new:ns3_before -21.44608    9.71977  -2.206   0.0276 *  
is_new:ns4_before  -5.00506    3.42699  -1.460   0.1445    
is_new:ns5_before  -0.20130   11.68408  -0.017   0.9863    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 112.8049)

    Null deviance: 113106  on 933  degrees of freedom
Residual deviance: 103781  on 920  degrees of freedom
AIC: 7080.2

Number of Fisher Scoring iterations: 2

Article talk after

[edit]

> summary(glm(formula = ns1_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns1_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-5.3111  -0.0940  -0.0846  -0.0605  21.2835  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)       -0.006599   0.059177  -0.112  0.91124    
is_new             0.093676   0.083902   1.116  0.26450    
ns0_before         0.033533   0.010195   3.289  0.00104 ** 
ns1_before         0.235083   0.220058   1.068  0.28567    
ns2_before         0.186592   0.098600   1.892  0.05875 .  
ns3_before         5.116485   0.833806   6.136 1.25e-09 ***
ns4_before         1.393257   0.225005   6.192 8.93e-10 ***
ns5_before        -0.021388   0.302829  -0.071  0.94371    
is_new:ns0_before -0.034372   0.013711  -2.507  0.01235 *  
is_new:ns1_before -0.075652   0.264882  -0.286  0.77525    
is_new:ns2_before -0.049385   0.120763  -0.409  0.68268    
is_new:ns3_before -4.787278   0.916452  -5.224 2.17e-07 ***
is_new:ns4_before -1.483731   0.323122  -4.592 5.00e-06 ***
is_new:ns5_before -0.750887   1.101662  -0.682  0.49567    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 1.00285)

    Null deviance: 1135.91  on 933  degrees of freedom
Residual deviance:  922.62  on 920  degrees of freedom
AIC: 2669.1

Number of Fisher Scoring iterations: 2

User edits after

[edit]

> summary(glm(formula = ns2_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns2_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
   Min      1Q  Median      3Q     Max  
-1.814  -0.249  -0.174  -0.114  47.751  

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.09491    0.12672   0.749    0.454    
is_new             0.17318    0.17966   0.964    0.335    
ns0_before         0.01958    0.02183   0.897    0.370    
ns1_before        -0.09040    0.47122  -0.192    0.848    
ns2_before        -0.02193    0.21114  -0.104    0.917    
ns3_before        -0.09266    1.78546  -0.052    0.959    
ns4_before        -0.17733    0.48181  -0.368    0.713    
ns5_before        -0.05738    0.64846  -0.088    0.930    
is_new:ns0_before -0.03843    0.02936  -1.309    0.191    
is_new:ns1_before  0.12319    0.56720   0.217    0.828    
is_new:ns2_before  0.33488    0.25859   1.295    0.196    
is_new:ns3_before -0.14246    1.96243  -0.073    0.942    
is_new:ns4_before  0.07007    0.69191   0.101    0.919    
is_new:ns5_before  9.24337    2.35903   3.918 9.58e-05 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 4.598374)

    Null deviance: 4377.1  on 933  degrees of freedom
Residual deviance: 4230.5  on 920  degrees of freedom
AIC: 4091.5

Number of Fisher Scoring iterations: 2

User talk edits after

[edit]

> summary(glm(formula = ns3_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns3_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-2.8189  -0.1521  -0.1366  -0.0374  18.7562  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.014490   0.058782   0.247  0.80534    
is_new             0.115687   0.083342   1.388  0.16544    
ns0_before         0.022933   0.010127   2.264  0.02378 *  
ns1_before         0.134851   0.218590   0.617  0.53745    
ns2_before        -0.023035   0.097943  -0.235  0.81412    
ns3_before         1.934727   0.828243   2.336  0.01971 *  
ns4_before         0.318995   0.223503   1.427  0.15385    
ns5_before        -0.023265   0.300808  -0.077  0.93837    
is_new:ns0_before -0.016470   0.013619  -1.209  0.22684    
is_new:ns1_before -0.008663   0.263115  -0.033  0.97374    
is_new:ns2_before  0.436388   0.119957   3.638  0.00029 ***
is_new:ns3_before -2.161507   0.910338  -2.374  0.01778 *  
is_new:ns4_before -0.543151   0.320966  -1.692  0.09094 .  
is_new:ns5_before -2.180140   1.094312  -1.992  0.04664 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.9895125)

    Null deviance: 975.91  on 933  degrees of freedom
Residual deviance: 910.35  on 920  degrees of freedom
AIC: 2656.6

Number of Fisher Scoring iterations: 2

Wikipedia edits after

[edit]

> summary(glm(formula = ns4_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns4_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-3.2246  -0.0562  -0.0429  -0.0077   6.6998  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)       -0.014686   0.027813  -0.528  0.59762    
is_new             0.054079   0.039434   1.371  0.17060    
ns0_before         0.011199   0.004792   2.337  0.01965 *  
ns1_before        -0.036757   0.103428  -0.355  0.72238    
ns2_before         0.135704   0.046343   2.928  0.00349 ** 
ns3_before         3.172117   0.391892   8.094 1.81e-15 ***
ns4_before         1.070497   0.105753  10.123  < 2e-16 ***
ns5_before        -0.001469   0.142331  -0.010  0.99177    
is_new:ns0_before -0.007660   0.006444  -1.189  0.23487    
is_new:ns1_before  0.077077   0.124496   0.619  0.53600    
is_new:ns2_before -0.118889   0.056759  -2.095  0.03648 *  
is_new:ns3_before -3.213654   0.430736  -7.461 1.99e-13 ***
is_new:ns4_before -0.943044   0.151869  -6.210 8.03e-10 ***
is_new:ns5_before -0.125538   0.517786  -0.242  0.80849    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.2215335)

    Null deviance: 293.05  on 933  degrees of freedom
Residual deviance: 203.81  on 920  degrees of freedom
AIC: 1258.8

Number of Fisher Scoring iterations: 2

Wikipedia talk edits after

[edit]

> summary(glm(formula = ns5_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = ns5_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-0.3000  -0.0660  -0.0101  -0.0085  14.9206  

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)
(Intercept)        0.0109436  0.0369986   0.296    0.767
is_new             0.0483364  0.0524571   0.921    0.357
ns0_before        -0.0008247  0.0063744  -0.129    0.897
ns1_before        -0.0034841  0.1375845  -0.025    0.980
ns2_before        -0.0028170  0.0616470  -0.046    0.964
ns3_before         0.0042586  0.5213118   0.008    0.993
ns4_before        -0.0001786  0.1406773  -0.001    0.999
ns5_before         0.2683527  0.1893345   1.417    0.157
is_new:ns0_before  0.0041780  0.0085721   0.487    0.626
is_new:ns1_before -0.0211958  0.1656095  -0.128    0.898
is_new:ns2_before -0.0137867  0.0755033  -0.183    0.855
is_new:ns3_before -0.0500011  0.5729838  -0.087    0.930
is_new:ns4_before  0.0781844  0.2020223   0.387    0.699
is_new:ns5_before -0.2479674  0.6887809  -0.360    0.719

(Dispersion parameter for gaussian family taken to be 0.3920136)

    Null deviance: 362.61  on 933  degrees of freedom
Residual deviance: 360.65  on 920  degrees of freedom
AIC: 1791.8

Number of Fisher Scoring iterations: 2

Warnings after

[edit]

> summary(glm(formula = warns_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = warns_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.1582  -0.4084  -0.3257  -0.2998   8.5910  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.328680   0.056388   5.829 7.72e-09 ***
is_new             0.079420   0.079948   0.993   0.3208    
ns0_before        -0.002958   0.009715  -0.304   0.7609    
ns1_before        -0.084969   0.209687  -0.405   0.6854    
ns2_before         0.102626   0.093954   1.092   0.2750    
ns3_before         0.730267   0.794511   0.919   0.3583    
ns4_before        -0.252855   0.214401  -1.179   0.2386    
ns5_before        -0.147249   0.288557  -0.510   0.6100    
is_new:ns0_before  0.003133   0.013064   0.240   0.8105    
is_new:ns1_before -0.025241   0.252399  -0.100   0.9204    
is_new:ns2_before -0.074222   0.115072  -0.645   0.5191    
is_new:ns3_before -0.744596   0.873262  -0.853   0.3941    
is_new:ns4_before  0.627749   0.307894   2.039   0.0418 *  
is_new:ns5_before -0.403048   1.049744  -0.384   0.7011    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.9105535)

    Null deviance: 846.50  on 933  degrees of freedom
Residual deviance: 837.71  on 920  degrees of freedom
AIC: 2579

Number of Fisher Scoring iterations: 2

Warnings after (controlled for edits after)

[edit]
> summary(glm(formula = warns_after ~ is_new * (ns0_after + talk_edits_after) * (ns0_before + talk_edits_before), data = z97_98))

Call:
glm(formula = warns_after ~ is_new * (ns0_after + talk_edits_after) * 
    (ns0_before + talk_edits_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-2.6527  -0.3243  -0.2849  -0.2432   8.4615  

Coefficients:
                                            Estimate Std. Error t value Pr(>|t|)    
(Intercept)                                0.2591541  0.0656086   3.950 8.41e-05 ***
is_new                                     0.0654741  0.0929444   0.704   0.4813    
ns0_after                                  0.0176116  0.0074634   2.360   0.0185 *  
talk_edits_after                           0.1165981  0.0493629   2.362   0.0184 *  
ns0_before                                -0.0031888  0.0141867  -0.225   0.8222    
talk_edits_before                         -0.1790895  0.1526774  -1.173   0.2411    
is_new:ns0_after                          -0.0096635  0.0085575  -1.129   0.2591    
is_new:talk_edits_after                    0.0431317  0.0635222   0.679   0.4973    
is_new:ns0_before                         -0.0032262  0.0204759  -0.158   0.8748    
is_new:talk_edits_before                   0.2731749  0.2265272   1.206   0.2282    
ns0_after:ns0_before                      -0.0006180  0.0011638  -0.531   0.5955    
ns0_after:talk_edits_before                0.0070873  0.0307632   0.230   0.8178    
talk_edits_after:ns0_before               -0.0077713  0.0040755  -1.907   0.0569 .  
talk_edits_after:talk_edits_before         0.0133351  0.0627966   0.212   0.8319    
is_new:ns0_after:ns0_before                0.0006215  0.0013501   0.460   0.6454    
is_new:ns0_after:talk_edits_before        -0.0115417  0.0314088  -0.367   0.7134    
is_new:talk_edits_after:ns0_before         0.0090790  0.0074038   1.226   0.2204    
is_new:talk_edits_after:talk_edits_before -0.1044909  0.0910809  -1.147   0.2516    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.8615041)

    Null deviance: 846.50  on 933  degrees of freedom
Residual deviance: 789.14  on 916  degrees of freedom
AIC: 2531.2

Number of Fisher Scoring iterations: 2

# edits by others to warned user's talk page

[edit]
> summary(glm(formula = other_talk_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = other_talk_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-3.7124  -0.7999  -0.7069   0.2224  23.5473  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.611105   0.115421   5.295 1.49e-07 ***
is_new             0.124963   0.163646   0.764   0.4453    
ns0_before         0.047890   0.019886   2.408   0.0162 *  
ns1_before        -0.003556   0.429211  -0.008   0.9934    
ns2_before         0.367228   0.192315   1.910   0.0565 .  
ns3_before         3.331464   1.626293   2.049   0.0408 *  
ns4_before        -0.652297   0.438859  -1.486   0.1375    
ns5_before         0.232850   0.590651   0.394   0.6935    
is_new:ns0_before -0.015951   0.026742  -0.596   0.5510    
is_new:ns1_before -0.122806   0.516638  -0.238   0.8122    
is_new:ns2_before  0.221649   0.235541   0.941   0.3469    
is_new:ns3_before -3.817331   1.787490  -2.136   0.0330 *  
is_new:ns4_before  1.036248   0.630232   1.644   0.1005    
is_new:ns5_before -3.945242   2.148733  -1.836   0.0667 .  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 3.815081)

    Null deviance: 3663.1  on 933  degrees of freedom
Residual deviance: 3509.9  on 920  degrees of freedom
AIC: 3917.1

Number of Fisher Scoring iterations: 2

Non-warning messages sent by others to warned user

[edit]
> summary(glm(formula = other_talk_after - warns_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = other_talk_after - warns_after ~ is_new * (ns0_before + 
    ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), 
    data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-3.1621  -0.4350  -0.3597  -0.3333  17.9845  

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.28242    0.08024   3.520 0.000453 ***
is_new             0.04554    0.11376   0.400 0.689003    
ns0_before         0.05085    0.01382   3.678 0.000248 ***
ns1_before         0.08141    0.29838   0.273 0.785028    
ns2_before         0.26460    0.13369   1.979 0.048092 *  
ns3_before         2.60120    1.13056   2.301 0.021625 *  
ns4_before        -0.39944    0.30508  -1.309 0.190763    
ns5_before         0.38010    0.41061   0.926 0.354842    
is_new:ns0_before -0.01908    0.01859  -1.027 0.304887    
is_new:ns1_before -0.09756    0.35915  -0.272 0.785951    
is_new:ns2_before  0.29587    0.16374   1.807 0.071100 .  
is_new:ns3_before -3.07274    1.24262  -2.473 0.013586 *  
is_new:ns4_before  0.40850    0.43812   0.932 0.351381    
is_new:ns5_before -3.54219    1.49374  -2.371 0.017928 *  
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 1.843701)

    Null deviance: 1825.4  on 933  degrees of freedom
Residual deviance: 1696.2  on 920  degrees of freedom
AIC: 3237.9

Number of Fisher Scoring iterations: 2

Blocks after (definite and indefinite)

[edit]

> summary(glm(formula = blocks_after + bans_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = blocks_after + bans_after ~ is_new * (ns0_before + 
    ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), 
    data = z97_98)

Deviance Residuals: 
     Min        1Q    Median        3Q       Max  
-0.36414  -0.05508  -0.05309  -0.05209   2.94779  

Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)        0.051088   0.014312   3.569 0.000376 ***
is_new             0.004715   0.020292   0.232 0.816331    
ns0_before         0.001003   0.002466   0.407 0.684370    
ns1_before         0.019531   0.053223   0.367 0.713724    
ns2_before        -0.006416   0.023847  -0.269 0.787964    
ns3_before         0.687428   0.201663   3.409 0.000681 ***
ns4_before        -0.128282   0.054419  -2.357 0.018618 *  
ns5_before        -0.023951   0.073242  -0.327 0.743734    
is_new:ns0_before -0.001720   0.003316  -0.519 0.604004    
is_new:ns1_before -0.023057   0.064064  -0.360 0.718995    
is_new:ns2_before  0.041178   0.029207   1.410 0.158921    
is_new:ns3_before -0.735475   0.221652  -3.318 0.000942 ***
is_new:ns4_before  0.195438   0.078150   2.501 0.012564 *  
is_new:ns5_before -0.204946   0.266446  -0.769 0.441981    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.05866213)

    Null deviance: 55.105  on 933  degrees of freedom
Residual deviance: 53.969  on 920  degrees of freedom
AIC: 17.684

Number of Fisher Scoring iterations: 2

Blocks, controlled for edits after

[edit]
summary(glm(formula = blocks_after + bans_after ~ is_new * (ns0_after + talk_edits_after) * (ns0_before + talk_edits_before), data = z97_98))

Call:
glm(formula = blocks_after + bans_after ~ is_new * (ns0_after + 
    talk_edits_after) * (ns0_before + talk_edits_before), data = z97_98)

Deviance Residuals: 
     Min        1Q    Median        3Q       Max  
-0.44099  -0.04681  -0.04313  -0.04085   2.92289  

Coefficients:
                                            Estimate Std. Error t value Pr(>|t|)  
(Intercept)                                0.0420876  0.0168469   2.498   0.0127 *
is_new                                     0.0001736  0.0238662   0.007   0.9942  
ns0_after                                  0.0009192  0.0019165   0.480   0.6316  
talk_edits_after                           0.0254388  0.0126754   2.007   0.0450 *
ns0_before                                 0.0005209  0.0036428   0.143   0.8863  
talk_edits_before                         -0.0019852  0.0392044  -0.051   0.9596  
is_new:ns0_after                          -0.0002598  0.0021974  -0.118   0.9059  
is_new:talk_edits_after                    0.0157588  0.0163112   0.966   0.3342  
is_new:ns0_before                         -0.0019358  0.0052578  -0.368   0.7128  
is_new:talk_edits_before                  -0.0181190  0.0581675  -0.311   0.7555  
ns0_after:ns0_before                      -0.0000791  0.0002988  -0.265   0.7913  
ns0_after:talk_edits_before                0.0053646  0.0078993   0.679   0.4972  
talk_edits_after:ns0_before               -0.0009279  0.0010465  -0.887   0.3755  
talk_edits_after:talk_edits_before        -0.0103939  0.0161249  -0.645   0.5194  
is_new:ns0_after:ns0_before                0.0001221  0.0003467   0.352   0.7248  
is_new:ns0_after:talk_edits_before        -0.0048780  0.0080651  -0.605   0.5454  
is_new:talk_edits_after:ns0_before        -0.0006762  0.0019011  -0.356   0.7222  
is_new:talk_edits_after:talk_edits_before  0.0404317  0.0233877   1.729   0.0842 .
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 0.05680377)

    Null deviance: 55.105  on 933  degrees of freedom
Residual deviance: 52.032  on 916  degrees of freedom
AIC: -8.453

Number of Fisher Scoring iterations: 2

# of deleted edits after

[edit]
> summary(glm(formula = deleted_edits_after ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98))

Call:
glm(formula = deleted_edits_after ~ is_new * (ns0_before + ns1_before + 
    ns2_before + ns3_before + ns4_before + ns5_before), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-27.171   -4.406   -2.674    0.066  138.594  

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)         2.2181     0.6416   3.457 0.000571 ***
is_new              1.9339     0.9097   2.126 0.033783 *  
ns0_before          0.4557     0.1105   4.123 4.09e-05 ***
ns1_before          0.7690     2.3861   0.322 0.747295    
ns2_before         -0.3229     1.0691  -0.302 0.762707    
ns3_before         28.2185     9.0408   3.121 0.001857 ** 
ns4_before          7.4301     2.4397   3.046 0.002389 ** 
ns5_before         -1.0670     3.2835  -0.325 0.745298    
is_new:ns0_before  -0.2021     0.1487  -1.360 0.174297    
is_new:ns1_before   4.1403     2.8721   1.442 0.149763    
is_new:ns2_before   0.2127     1.3094   0.162 0.871021    
is_new:ns3_before -29.7687     9.9369  -2.996 0.002811 ** 
is_new:ns4_before  -7.9146     3.5036  -2.259 0.024116 *  
is_new:ns5_before  12.2124    11.9452   1.022 0.306872    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for gaussian family taken to be 117.9023)

    Null deviance: 119583  on 933  degrees of freedom
Residual deviance: 108470  on 920  degrees of freedom
AIC: 7121.5

Number of Fisher Scoring iterations: 2

Makes a deleted edit after (binomial)

[edit]
> summary(glm(formula = deleted_edits_after > 0 ~ is_new * (ns0_before + ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), family=binomial(link="logit"), data = z97_98))

Call:
glm(formula = deleted_edits_after > 0 ~ is_new * (ns0_before + 
    ns1_before + ns2_before + ns3_before + ns4_before + ns5_before), 
    family = binomial(link = "logit"), data = z97_98)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-2.4883  -1.2514   0.8722   1.0217   1.2427  

Coefficients:
                    Estimate Std. Error z value Pr(>|z|)    
(Intercept)         -0.08601    0.13610  -0.632 0.527401    
is_new               0.41613    0.19060   2.183 0.029011 *  
ns0_before           0.12236    0.03189   3.837 0.000125 ***
ns1_before          15.66535  970.80620   0.016 0.987126    
ns2_before          -0.09428    0.21144  -0.446 0.655673    
ns3_before          15.60720 2052.96699   0.008 0.993934    
ns4_before           0.93192    0.76289   1.222 0.221872    
ns5_before           0.13601    0.62515   0.218 0.827769    
is_new:ns0_before   -0.07465    0.04147  -1.800 0.071834 .  
is_new:ns1_before   -0.42833 1193.32518   0.000 0.999714    
is_new:ns2_before    0.03021    0.27288   0.111 0.911862    
is_new:ns3_before    0.76693 2592.93004   0.000 0.999764    
is_new:ns4_before   -0.80838    0.91170  -0.887 0.375252    
is_new:ns5_before   17.37260 3956.18047   0.004 0.996496    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 1249.0  on 933  degrees of freedom
Residual deviance: 1198.8  on 920  degrees of freedom
AIC: 1226.8

Number of Fisher Scoring iterations: 16

Warning message:
glm.fit: fitted probabilities numerically 0 or 1 occurred 


Data prep

[edit]
z97_98$ns0_before = z97_98$ns_0_revisions_deleted_before + z97_98$ns_0_revisions_not_deleted_before
z97_98$ns1_before = z97_98$ns_1_revisions_deleted_before + z97_98$ns_1_revisions_not_deleted_before
z97_98$ns2_before = z97_98$ns_2_revisions_deleted_before + z97_98$ns_2_revisions_not_deleted_before
z97_98$ns3_before = z97_98$ns_3_revisions_deleted_before + z97_98$ns_3_revisions_not_deleted_before
z97_98$ns4_before = z97_98$ns_4_revisions_deleted_before + z97_98$ns_4_revisions_not_deleted_before
z97_98$ns5_before = z97_98$ns_5_revisions_deleted_before + z97_98$ns_5_revisions_not_deleted_before
z97_98$ns12_before = z97_98$ns_12_revisions_deleted_before + z97_98$ns_12_revisions_not_deleted_before
z97_98$talk_edits_before = z97_98$ns1_before + z97_98$ns3_before + z97_98$ns4_before + z97_98$ns5_before + z97_98$ns12_before
z97_98$edits_before = z97_98$ns0_before + z97_98$ns2_before + z97_98$talk_edits_before

z97_98$ns0_after = z97_98$ns_0_revisions_deleted_after + z97_98$ns_0_revisions_not_deleted_after
z97_98$ns1_after = z97_98$ns_1_revisions_deleted_after + z97_98$ns_1_revisions_not_deleted_after
z97_98$ns2_after = z97_98$ns_2_revisions_deleted_after + z97_98$ns_2_revisions_not_deleted_after
z97_98$ns3_after = z97_98$ns_3_revisions_deleted_after + z97_98$ns_3_revisions_not_deleted_after
z97_98$ns4_after = z97_98$ns_4_revisions_deleted_after + z97_98$ns_4_revisions_not_deleted_after
z97_98$ns5_after = z97_98$ns_5_revisions_deleted_after + z97_98$ns_5_revisions_not_deleted_after
z97_98$ns12_after = z97_98$ns_12_revisions_deleted_after + z97_98$ns_12_revisions_not_deleted_after
z97_98$talk_edits_after = z97_98$ns1_after + z97_98$ns3_after + z97_98$ns4_after + z97_98$ns5_after + z97_98$ns12_after
z97_98$edits_after = z97_98$ns0_after + z97_98$ns2_after + z97_98$talk_edits_after

z97_98$deleted_edits_before = z97_98$ns_0_revisions_deleted_before + z97_98$ns_1_revisions_deleted_before + z97_98$ns_2_revisions_deleted_before + z97_98$ns_3_revisions_deleted_before + z97_98$ns_4_revisions_deleted_before + z97_98$ns_5_revisions_deleted_before;

z97_98$deleted_edits_after = z97_98$ns_0_revisions_deleted_after + z97_98$ns_1_revisions_deleted_after + z97_98$ns_2_revisions_deleted_after + z97_98$ns_3_revisions_deleted_after + z97_98$ns_4_revisions_deleted_after + z97_98$ns_5_revisions_deleted_after;