Sage CRM - Error when clicking to create a new appoinment - sage-crm

I was deleting fields to the screen (Fields i do not want right now) but after deleting them the screen to create a new appointment stopped working.
THere is some field that have to be in that screen no matter what?
I the screen i modified was CommunicationDetailBox
sep. 13 2016 16:09:50.492 4248 348 4 StartUserAction,User,Action 1 183
sep. 13 2016 16:09:50.565 4248 348 3 CoeWareBase,Time 16
sep. 13 2016 16:09:51.009 4248 348 4 EndUserAction,User,Action,Time 1 183 515
sep. 13 2016 16:09:51.353 4248 348 4 StartUserAction,User,Action 1 1696
sep. 13 2016 16:09:51.358 4248 348 4 EndUserAction,User,Action,Time 1 1696 0
sep. 13 2016 16:09:52.910 4248 348 4 StartUserAction,User,Action 1 362
sep. 13 2016 16:09:53.187 4248 348 3 CoeWareBase,Time 32
sep. 13 2016 16:09:53.264 4248 348 1 UserActionException,ErrMsg Access violation at address 1A687D6E in module 'eware.dll'. Write of address 00000019
sep. 13 2016 16:09:53.264 4248 348 1 : EAccessViolation: Access violation at address 1A687D6E in module 'eware.dll'. Write of address 00000019<br>
sep. 13 2016 16:09:53.309 4248 348 1 Creating stack-trace ID:4187146410. Error message is "Access violation at address 1A687D6E in module 'eware.dll'. Write of address 00000019"
sep. 13 2016 16:09:53.310 4248 348 1
----------------------------------------------------------------------------------------------------
|Address |Module |Unit |Class |Procedure/Method |Line |
----------------------------------------------------------------------------------------------------
|1A687D6E|eware.dll |WsCommunication.pas|TWebCommunication |GetEditInfoFromContent |1180[93] |
|1A687910|eware.dll |WsCommunication.pas|TWebCommunication |GetEditInfoFromContent |1087[0] |
|1A695A66|eware.dll |WsCommunication.pas|TWebNewCommunication |BuildScreen |3488[132]|
|1A695344|eware.dll |WsCommunication.pas|TWebNewCommunication |BuildScreen |3356[0] |
|1A697700|eware.dll |WsCommunication.pas|TWebNewCommunication |BuildContents |3887[176]|
|1A7F25BD|eware.dll |WebPage.pas |TWebPage |GetHtml |455[11] |
|1A2E846B|eware.dll |WebFrameSet.pas |TWebFrameSet |GetHtml |685[221] |
|1A2E79EC|eware.dll |WebFrameSet.pas |TWebFrameSet |GetHtml |464[0] |
|1A2E5D25|eware.dll |WebFrameSet.pas |TWebFrameSet |GetHtml |110[4] |
|1A8917D0|eware.dll |Dispatch.pas |TDispatcher |Action |3763[918]|
|1A88E8A4|eware.dll |Dispatch.pas |TDispatcher |Action |2845[0] |
|1A918F6F|eware.dll |ISAPIDispatch.pas |TISAPIEntry |ISAPIEntryAction |334[25] |
|1A8D59C3|eware.dll |HTTPApp.pas |TWebActionItem |GetMask |1244[19] |
|1A8D55F3|eware.dll |HTTPApp.pas |TWebActionItem |DispatchAction |1108[18] |
|1A8D5500|eware.dll |HTTPApp.pas |TWebActionItem |DispatchAction |1090[0] |
|1A8D623F|eware.dll |HTTPApp.pas |TCustomWebDispatcher |DispatchAction |1488[15] |
|1A8D61B8|eware.dll |HTTPApp.pas |TCustomWebDispatcher |DispatchAction |1473[0] |
|1A8D647E|eware.dll |HTTPApp.pas |TCustomWebDispatcher |HandleRequest |1543[3] |
|1A8D7E0D|eware.dll |HTTPApp.pas |TDefaultWebAppServices|InvokeDispatcher |2287[3] |
|1A8D7DD0|eware.dll |HTTPApp.pas |TDefaultWebAppServices|InvokeDispatcher |2284[0] |
|1A8D7DB0|eware.dll |HTTPApp.pas |TDefaultWebAppServices|HandleRequest |2268[1] |
|1A14EACD|eware.dll |WebReq.pas |TWebRequestHandler |HandleRequest |368[25] |
|1A14E99C|eware.dll |WebReq.pas |TWebRequestHandler |HandleRequest |343[0] |
|1A14F9F2|eware.dll |ISAPIApp.pas |TISAPIApplication |HttpExtensionProc |100[6] |
|1A14F998|eware.dll |ISAPIApp.pas |TISAPIApplication |HttpExtensionProc |94[0] |
|1A14FAF5|eware.dll |ISAPIApp.pas | |HttpExtensionProc |147[10] |
|7708039B|ntdll.dll | | |RtlReleaseSRWLockShared| |
|7707F4D0|ntdll.dll | | |RtlLeaveCriticalSection| |
|7707FD7D|ntdll.dll | | |RtlAllocateHeap | |
|76499B96|msvcrt.dll | | |malloc | |
|76948541|KERNEL32.DLL| | |BaseThreadInitThunk | |
----------------------------------------------------------------------------------------------------
sep. 13 2016 16:09:53.310 4248 348 4 EndUserAction,User,Action,Time 1 362 405
sep. 13 2016 16:13:19.136 4248 348 4 StartUserAction,User,Action 1 106
sep. 13 2016 16:13:19.147 4248 348 4 EndUserAction,User,Action,Time 1 106 16
sep. 13 2016 16:13:19.177 4248 348 4 StartUserAction,User,Action 1 1650
sep. 13 2016 16:13:19.268 4248 348 5 RunEscalations,EWAREDLL,Campaign Launch Failure Notice,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10148 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.281 4248 348 5 RunEscalations,EWAREDLL,Campaign Over Budget,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10149 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.297 4248 348 5 RunEscalations,EWAREDLL,Campaign Close To Budget,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10150 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.309 4248 348 5 RunEscalations,EWAREDLL,Email Reminder,DontDoRule,select * from vWorkflowActions where WkRl_RuleId = 65 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.312 4248 348 5 RunEscalations,EWAREDLL,Communication Reminder,DoRule,select * from vWorkflowActions where WkRl_RuleId = 117 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.333 4248 348 5 RunEscalations,EWAREDLL,Mailchimp list upload message,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10153 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.339 4248 348 5 RunEscalations,EWAREDLL,Daily Quota Remaining,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10169 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.376 4248 348 5 RunEscalations,EWAREDLL,Quarterly Quota Remaining First Month,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10170 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.389 4248 348 5 RunEscalations,EWAREDLL,Quarterly Quota Remaining Second Month,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10171 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.401 4248 348 5 RunEscalations,EWAREDLL,Quarterly Quota Remaining Third Month,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10172 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.412 4248 348 5 RunEscalations,EWAREDLL,Pipeline Update,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10173 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.443 4248 348 5 RunEscalations,EWAREDLL,Unassigned Lead,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10164 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.505 4248 348 5 RunEscalations,EWAREDLL,Backup Failure Notice,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10151 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.518 4248 348 5 RunEscalations,EWAREDLL,Backup Completed Notice,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10152 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.529 4248 348 5 RunEscalations,EWAREDLL,Unassigned Opportunity,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10165 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.581 4248 348 5 RunEscalations,EWAREDLL,High Value Opportunity Created,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10166 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.668 4248 348 5 RunEscalations,EWAREDLL,HighValue Opportunity Won,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10167 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.753 4248 348 5 RunEscalations,EWAREDLL,Lost Opportunities,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10162 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.864 4248 348 5 RunEscalations,EWAREDLL,Opportunity Close Date Approaching,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10163 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.923 4248 348 5 RunEscalations,EWAREDLL,Quote Discount Exceeded,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10168 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:19.999 4248 348 5 RunEscalations,EWAREDLL,Quote Expiry,DoRule,select * from vWorkflowActions where WkRl_RuleId = 10123 AND Wkac_action = N'Notify'
sep. 13 2016 16:13:20.401 4248 348 4 EndUserAction,User,Action,Time 1 1650 1217
sep. 13 2016 16:13:22.658 4248 348 4 StartUserAction,User,Action 1 1650
sep. 13 2016 16:13:23.032 4248 348 4 EndUserAction,User,Action,Time 1 1650 374
sep. 13 2016 16:13:31.564 4248 348 4 StartUserAction,User,Action 1 808
sep. 13 2016 16:13:32.221 4248 348 4 EndUserAction,User,Action,Time 1 808 656
sep. 13 2016 16:13:32.584 4248 348 4 StartUserAction,User,Action 1 1696
sep. 13 2016 16:13:32.590 4248 348 4 EndUserAction,User,Action,Time 1 1696 0
sep. 13 2016 16:13:34.292 4248 348 4 StartUserAction,User,Action 1 810
sep. 13 2016 16:13:34.639 4248 348 4 EndUserAction,User,Action,Time 1 810 344
sep. 13 2016 16:14:29.599 4248 348 4 StartUserAction,User,Action 1 183
sep. 13 2016 16:14:29.640 4248 348 3 CoeWareBase,Time 0
sep. 13 2016 16:14:29.895 4248 348 4 EndUserAction,User,Action,Time 1 183 296
sep. 13 2016 16:14:30.348 4248 348 4 StartUserAction,User,Action 1 1696
sep. 13 2016 16:14:30.354 4248 348 4 EndUserAction,User,Action,Time 1 1696 0
sep. 13 2016 16:14:31.831 4248 348 4 StartUserAction,User,Action 1 362
sep. 13 2016 16:14:31.896 4248 348 3 CoeWareBase,Time 16
sep. 13 2016 16:14:31.932 4248 348 1 UserActionException,ErrMsg Access violation at address 1A687D6E in module 'eware.dll'. Write of address 00000019
sep. 13 2016 16:14:31.932 4248 348 1 : EAccessViolation: Access violation at address 1A687D6E in module 'eware.dll'. Write of address 00000019<br>
sep. 13 2016 16:14:31.963 4248 348 1 Already logged ID: 4187146410
sep. 13 2016 16:14:31.964 4248 348 4 EndUserAction,User,Action,Time 1 362 124
sep. 13 2016 16:14:36.286 4248 348 4 StartUserAction,User,Action 1 106
sep. 13 2016 16:14:36.306 4248 348 4 EndUserAction,User,Action,Time 1 106 31
sep. 13 2016 16:14:36.335 4248 348 4 StartUserAction,User,Action 1 523
sep. 13 2016 16:14:36.692 4248 348 4 EndUserAction,User,Action,Time 1 523 359
sep. 13 2016 16:14:38.099 4248 348 4 StartUserAction,User,Action 1 1650
sep. 13 2016 16:14:38.526 4248 348 4 EndUserAction,User,Action,Time 1 1650 421
sep. 13 2016 16:14:39.490 4248 348 4 StartUserAction,User,Action 1 1651
sep. 13 2016 16:14:39.859 4248 348 4 EndUserAction,User,Action,Time 1 1651 375
sep. 13 2016 16:14:39.865 4248 348 4 StartUserAction,User,Action 1 1586
sep. 13 2016 16:14:40.242 4248 348 4 EndUserAction,User,Action,Time 1 1586 374
sep. 13 2016 16:14:42.170 4248 348 4 StartUserAction,User,Action 1 1282


I just noticed that the Comm_Organizar HAVE to be in the screen CustomCommunicationDetailBox no matter what

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Adding spaces between gathered bars in ggplot?

I have the following R code to plot the counts for two values side by side each month (d1 and d2). Before summarising with ddply, I have the count for separate 'posts' made on different dates.
I really want / need to add a space between the paired bars each month, and labels for each month, so it is clearer to read. Can anybody suggest what I should do for this?
m_scores = ddply(data_NKsam2,.(zdate),summarise, d1 = sum(d1) , d2 = sum(d2))
require(tidyr)
df <- gather(m_scores, event, total, d1:d2)
plot <- ggplot(df, aes(zdate, total, fill=event))
plot <- plot + geom_bar(stat = "identity", position = 'dodge')
This code currently produces a chart like this:
Here is a section of the data 'm_scores'
zdate d1 d2
11 Nov 2014 263 318
12 Dec 2014 430 662
13 Jan 2015 507 326
14 Feb 2015 326 279
15 Mar 2015 281 345
16 Apr 2015 352 260
17 May 2015 280 315
18 Jun 2015 243 238
19 Jul 2015 313 251
20 Aug 2015 446 439
21 Sep 2015 416 404
22 Oct 2015 616 423
23 Nov 2015 269 242
24 Dec 2015 781 527
25 Jan 2016 865 861
26 Feb 2016 997 2139
27 Mar 2016 920 1421
28 Apr 2016 376 498
29 May 2016 434 309
30 Jun 2016 271 284

How can I have a predictive Termination & Active model?

I am a newbie in R. I have a dataset. Year & Month Active is store in the network Enterprise. Termination is store that left the network Enterprise. With these two variables, I can calculate the turnover My turnover is Termination / ((Active + Termination)) / (nb jours in the month) Example : Janv. 2013 , Active = 593 , Termination = 100 , Turnover = 1,75%
My question is with my dataset in attachment how can I calculate the active number and the termination number until 12-2015 ?
Is it possible to have a view of the scenario?
Dataset:
Year Month Active Termination To (%)
2013 1 5936 100 1,75%
2013 2 6182 190 3,21%
2013 3 6501 117 1,91%
2013 4 6675 92 1,43%
2013 5 6749 111 1,67%
2013 6 6719 145 2,20%
2013 7 6814 121 1,83%
2013 8 6854 90 1,34%
2013 9 6972 99 1,45%
2013 10 7320 99 1,42%
2013 11 7606 98 1,33%
2013 12 7976 155 1,99%
2014 1 7934 87 1,11%
2014 2 8079 127 1,61%
2014 3 8198 125 1,56%
2014 4 8135 154 1,91%
2014 5 8113 136 1,70%
2014 6 8095 173 2,17%
2014 7 8131 220 2,76%
2014 8 7950 135 1,72%
2014 9 7978 108 1,38%
2014 10 8117 199 2,51%
2014 11 8269 117 1,45%
2014 12 8471 177 2,11%
2015 1 8472 132 1,59%
2015 2 8591 117 1,39%
2015 3 8691 161 1,90%
2015 4 8647 126 1,48%
2015 5 8623 123 1,45%
2015 6 8739 177 2,07%
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interpreting dates from Auto arima model

The following is my code,
auto<-auto.arima(x)
auto_for<-forecast(auto,h=30)
> auto_for$x
Time Series:
Start = 1
End = 74
Frequency = 1
[1] 151 151 151 151 151 219 465 465 465 465 465 743 743 743 743 743 743 743 743 743 743 743
[23] 743 743 743 743 743 743 743 829 829 829 829 829 829 1004 1004 1004 1424 1424 1424 1822 1941 1941
[45] 1941 1941 1941 1941 1941 2076 2076 2252 2252 2252 2252 2252 2252 2252 2252 2252 2252 2252 2252 2940 2940 2940
[67] 2940 2940 3134 3134 3134 3207 3207 3465
> auto_for
Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
75 3510.397 3359.577 3661.217 3279.738 3741.056
76 3555.795 3342.503 3769.086 3229.594 3881.996
77 3601.192 3339.964 3862.419 3201.679 4000.705
78 3646.589 3344.949 3948.229 3185.271 4107.907
79 3691.986 3354.743 4029.230 3176.217 4207.755
80 3737.384 3367.952 4106.815 3172.387 4302.380
81 3782.781 3383.749 4181.812 3172.515 4393.047
82 3828.178 3401.595 4254.761 3175.776 4480.580
83 3873.575 3421.116 4326.035 3181.599 4565.552
84 3918.973 3442.039 4395.907 3189.565 4648.380
85 3964.370 3464.157 4464.582 3199.361 4729.379
86 4009.767 3487.312 4532.222 3210.741 4808.793
87 4055.164 3511.376 4598.953 3223.512 4886.817
88 4100.562 3536.246 4664.878 3237.515 4963.608
89 4145.959 3561.836 4730.081 3252.621 5039.297
90 4191.356 3588.077 4794.635 3268.720 5113.992
91 4236.753 3614.908 4858.599 3285.722 5187.785
I have the forecasted value, but I am not able to get the dates from the model. The dates are not present in the graph either and it has changed from 0 to 91, instead of my actual dates. I have used xts variable at the starting.
Update:
> a<-ts(ana)
> a
Time Series:
Start = 1
End = 68
Frequency = 1
final.day final.cumsum135
1 16535 318
2 16536 318
3 16537 318
4 16538 318
5 16539 318
6 16540 318
7 16541 318
8 16542 318
9 16543 318
10 16544 318
11 16545 318
12 16546 318
13 16547 318
14 16548 318
15 16549 318
16 16550 318
17 16551 318
18 16552 318
19 16553 318
20 16554 318
21 16555 318
22 16556 318
23 16557 318
24 16558 318
25 16559 318
26 16560 369
27 16561 369
28 16562 369
29 16563 369
30 16564 369
31 16565 369
32 16566 369
33 16567 369
34 16568 369
35 16569 369
> auto<-arima(a)
Error in arima(a) : only implemented for univariate time series
Is there any way I can get back the dates here?

Whit daily series, sometimes fitted and forecast "lost" dates. You could get dates by hand, using index:
y=x # x is your xts series
n=length(y)
model_a1 <- auto.arima(y)
# the plot
plot(x=1:n,y,xaxt="n",xlab="")
axis(1,at=seq(1,n,length.out=20),labels=index(y)[seq(1,n,length.out=20)],
las=2,cex.axis=.5)
lines(fitted(model_a1), col = 2)
#the forecast
auto_for<-forecast(model_a1,h=30)
fcs=xts(auto_for$mean,seq.Date(as.Date(index(y)[n]),by=1,length.out=30))
fcs

geom_bar : There are extra x-axis appear in my bar plot

My data is follow the sequence:
deptime .count
1 4.5 6285
2 14.5 5901
3 24.5 6002
4 34.5 5401
5 44.5 5080
6 54.5 4567
7 104.5 3162
8 114.5 2784
9 124.5 1950
10 134.5 1800
11 144.5 1630
12 154.5 1076
13 204.5 738
14 214.5 556
15 224.5 544
16 234.5 650
17 244.5 392
18 254.5 309
19 304.5 356
20 314.5 364
My ggplot code:
ggplot(pplot, aes(x=deptime, y=.count)) + geom_bar(stat="identity",fill='#FF9966',width = 5) + labs(x="time", y="count")
output figure
There are a gap between each 100. Does anyone know how to fix it?
Thank You

Barplot using three columns

The data in the table is given below:
Year NSW Vic. Qld SA WA Tas. NT ACT Aust.
1 1917 1904 1409 683 440 306 193 5 3 4941
2 1927 2402 1727 873 565 392 211 4 8 6182
3 1937 2693 1853 993 589 457 233 6 11 6836
4 1947 2985 2055 1106 646 502 257 11 17 7579
5 1957 3625 2656 1413 873 688 326 21 38 9640
6 1967 4295 3274 1700 1110 879 375 62 103 11799
7 1977 5002 3837 2130 1286 1204 415 104 214 14192
8 1987 5617 4210 2675 1393 1496 449 158 265 16264
9 1997 6274 4605 3401 1480 1798 474 187 310 18532
I want to plot a graph with (Year) on my x-axis and (total value) on my Y-axis. The barplot should depicting the ACT and NT value for the respective (Years).
I tried the following command:
barplot(as.matrix(r_data$ACT, r_data$NT), main="r_data", ylab="Total", beside=TRUE)
The above command showed the barplot of ACT column per year but didn't show the Bar plot of NT column.

You have to create the matrix in a different way:
barplot(as.matrix(r_data[c("ACT", "NT")]),
main="r_data", ylab="Total", beside=TRUE)
You can also use cbind instead of as.matrix and keep the rest of your original approach:
barplot(cbind(r_data$ACT, r_data$NT),
main="r_data", ylab="Total", beside=TRUE)

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