Solved: Re: Numeric values have been converted to character

das · Posted 03-05-2019 02:57 PM

I'm sure this will be an easy one for someone but I can't figure out how to force the new variable 'misfolding activity' to stay numeric as intended.

proc univariate data=rfu2 noprint ;
	by status dilution replicate ;
	var rfu ;
	output out=max_RFU max=maxRFU ;
run;

data max_RFU ;
	set max_RFU ;
	attrib misfolding_activity format=8. informat=8. label='misfolding activity';
	if maxRFU>26000 then misfolding_activity = 1 ;
	else misfolding_activity = 0;
run;

Astounding · Posted 03-05-2019 04:56 PM

In theory, that's true. Each time UNIVARIATE runs, it replaces max_RFU.

In practice, could this combination have occurred?

The program strings together several iterations of the logic into a single program.
One of the UNIVARIATEs fails, thus failing to replace max_RFU.
So the DATA step is actually bringing in max_RFU from the previous iteration, one that has already added MISFOLDING_ACTIVITY.

View solution in original post

PaigeMiller · Posted 03-05-2019 03:04 PM

Show us the entire SAS log. Click on the {i} icon and paste the log into the window that appears. DO NOT SKIP THIS STEP.

--
Paige Miller

das · Posted 03-05-2019 04:35 PM

Interestingly, I am not having the problem now after coming back to my computer and restarting SAS to produce the log you wanted. I am just in the beginning of putting this code together and thus was revising and resubmitting code. The code I posted was not working and I still am not sure why. For what it might be worth, here is the log as requested but which is now working.

NOTE: Copyright (c) 2016 by SAS Institute Inc., Cary, NC, USA.
NOTE: SAS (r) Proprietary Software 9.4 (TS1M5)

NOTE: This session is executing on the X64_7PRO  platform.



NOTE: Updated analytical products:

      SAS/STAT 14.3
      SAS/ETS 14.3
      SAS/OR 14.3
      SAS/IML 14.3
      SAS/QC 14.3

NOTE: Additional host information:

 X64_7PRO WIN 6.1.7601 Service Pack 1 Workstation

NOTE: SAS initialization used:
      real time           1.30 seconds
      cpu time            0.59 seconds

1    ods graphics / antialiasmax=500000 ;
2
3    footnote'TID6164';
4    footnote2'Protocol restarted after 21 hours due to power outage.';
5    footnote3'Data before 21 hours not included in this analysis';
6    **** 1a) Import, transpose and rename the raw data ;
7    PROC IMPORT OUT= WORK.RAWWide
8                DATAFILE= "J:\SchneiderLab\Edith Orozco\QuIC assay\RT-QuIC m
9    erged runs in excel\TID6164.xlsx"
10               DBMS=EXCELCS REPLACE;
11        RANGE='SAS$B3:CT119'n;
12        SCANTEXT=YES;
13        USEDATE=YES;
14        SCANTIME=YES;
15   RUN;

NOTE: WORK.RAWWIDE data set was successfully created.
NOTE: The data set WORK.RAWWIDE has 116 observations and 97 variables.
NOTE: PROCEDURE IMPORT used (Total process time):
      real time           0.76 seconds
      cpu time            0.09 seconds


16
17   data RAWWide;
18       set RAWWide ;
19       attrib time format=time8. informat=8. ;
20       time = (Time__h_ * '01:00:00't) + '21:00:00't ; /* Convert decimal minutes to SAS time
20 ! */
21       drop Time__h_ ;
22   run;

NOTE: There were 116 observations read from the data set WORK.RAWWIDE.
NOTE: The data set WORK.RAWWIDE has 116 observations and 97 variables.
NOTE: DATA statement used (Total process time):
      real time           0.06 seconds
      cpu time            0.01 seconds


23   proc sort data=RAWWide ;
24       by time ;
25   run;

NOTE: There were 116 observations read from the data set WORK.RAWWIDE.
NOTE: The data set WORK.RAWWIDE has 116 observations and 97 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.04 seconds
      cpu time            0.03 seconds


26   proc transpose data=RAWWide out=RAWLong;
27       var Sample_X1-Sample_X96 ;
28       by time ;
29   run;

NOTE: There were 116 observations read from the data set WORK.RAWWIDE.
NOTE: The data set WORK.RAWLONG has 11136 observations and 4 variables.
NOTE: PROCEDURE TRANSPOSE used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


30   data RAWLong ;
31       set RAWLong (rename=(COL1=RFU));
32       attrib sample_ID format=8. label='sample_ID X##';
33       Sample_ID=substr(_NAME_,9);
34       drop _LABEL_ _NAME_ ;
35   run;

NOTE: Character values have been converted to numeric values at the places given by:
      (Line):(Column).
      33:15
NOTE: There were 11136 observations read from the data set WORK.RAWLONG.
NOTE: The data set WORK.RAWLONG has 11136 observations and 3 variables.
NOTE: DATA statement used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


36
37   **** 1b) Import, transpose and rename the layout data ;
38   PROC IMPORT OUT= WORK.Layout
39               DATAFILE= "J:\SchneiderLab\Edith Orozco\QuIC assay\RT-QuIC m
40   erged runs in excel\TID6164.xlsx"
41               DBMS=EXCELCS REPLACE;
42        RANGE="Layout$";
43        SCANTEXT=YES;
44        USEDATE=YES;
45        SCANTIME=YES;
46   RUN;

NOTE: WORK.LAYOUT data set was successfully created.
NOTE: The data set WORK.LAYOUT has 96 observations and 11 variables.
NOTE: PROCEDURE IMPORT used (Total process time):
      real time           0.56 seconds
      cpu time            0.06 seconds


47
48   **** 1c) Put 1a and 1b together;
49   proc sort data=RAWLong ; by sample_ID time ; run;

NOTE: There were 11136 observations read from the data set WORK.RAWLONG.
NOTE: The data set WORK.RAWLONG has 11136 observations and 3 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.06 seconds
      cpu time            0.01 seconds


50   proc sort data=Layout ; by sample_ID ; run;

NOTE: There were 96 observations read from the data set WORK.LAYOUT.
NOTE: The data set WORK.LAYOUT has 96 observations and 11 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.04 seconds
      cpu time            0.00 seconds


51   data rfu ;
52       merge Layout RAWLong ;
53       by sample_ID ;
54       attrib dilution format=E7. ;
55   run;

NOTE: There were 96 observations read from the data set WORK.LAYOUT.
NOTE: There were 11136 observations read from the data set WORK.RAWLONG.
NOTE: The data set WORK.RFU has 11136 observations and 13 variables.
NOTE: DATA statement used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


56
57   proc sort data=rfu ;
58       by status dilution replicate time ;
59   run;

NOTE: There were 11136 observations read from the data set WORK.RFU.
NOTE: The data set WORK.RFU has 11136 observations and 13 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.03 seconds
      cpu time            0.01 seconds


60   proc freq data=rfu ;
61       by status dilution ;
62       table replicate / nopercent nocol norow nocum ;
63   run;

NOTE: Writing HTML Body file: sashtml.htm
NOTE: There were 11136 observations read from the data set WORK.RFU.
NOTE: PROCEDURE FREQ used (Total process time):
      real time           0.56 seconds
      cpu time            0.10 seconds


64   proc sgpanel data=rfu ;
65       title'PLOT 1: Raw data (n=12 or 16 t reps)';
66       by status;
67       panelby dilution / novarname columns=1 uniscale=all;
68       series x=time y=rfu / group=replicate ;
69       colaxis type=time tickvalueformat=time8. grid display=(novalues) ;
70       rowaxis values=(0 to 260000 by 25000) grid display=(novalues) ;
71   run;

NOTE: PROCEDURE SGPANEL used (Total process time):
      real time           3.28 seconds
      cpu time            0.28 seconds

NOTE: There were 11136 observations read from the data set WORK.RFU.

72   title;
73   proc freq data=rfu ;
74       table sample_id / nocum norow nocol nopercent ;
75       table row*well / nocum norow nocol nopercent ;
76   run;

ERROR: Permanent copy of file WORK.'SASTMP-000000018'n.UTILITY was deleted.
ERROR: Permanent copy of file WORK.'SASTMP-000000018'n.UTILITY was deleted.
NOTE: The SAS System stopped processing this step because of errors.
NOTE: PROCEDURE FREQ used (Total process time):
      real time           0.01 seconds
      cpu time            0.01 seconds

77   /*/*/*/*/*  1d) check for time line glitch */*/*/*/*/;


78   data lag ;
79       set rfu ;
80       attrib lagdif format=time8. informat=8.;
81       lagdif = time - lag(time) ;
82       if time='21:00:00't then lagdif=. ;
83   run;

NOTE: Missing values were generated as a result of performing an operation on missing values.
      Each place is given by: (Number of times) at (Line):(Column).
      1 at 81:19
NOTE: There were 11136 observations read from the data set WORK.RFU.
NOTE: The data set WORK.LAG has 11136 observations and 14 variables.
NOTE: DATA statement used (Total process time):
      real time           0.01 seconds
      cpu time            0.01 seconds


84   proc sort data=lag ;
85       by sample_ID time ;
86   run;

NOTE: There were 11136 observations read from the data set WORK.LAG.
NOTE: The data set WORK.LAG has 11136 observations and 14 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.18 seconds
      cpu time            0.03 seconds


87   proc sgplot data=lag ;
88       series x=time y=lagdif / group=sample_id ;
89       yaxis values=('00:00:00't to '01:30:00't by '00:10:00't);
90   run;

NOTE: PROCEDURE SGPLOT used (Total process time):
      real time           1.10 seconds
      cpu time            0.06 seconds

NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: Some graph legends have been dropped due to size constraints. Try adjusting the
      MAXLEGENDAREA=, WIDTH= and HEIGHT= options in the ODS GRAPHICS statement.
NOTE: There were 11136 observations read from the data set WORK.LAG.

91
92   /*/*/*/*/*  1e) fix time line glitch    */*/*/*/*/;
93   data rfu1 ;
94       set lag ;
95       by sample_ID;
96       attrib lag_time format=time8. informat=8. ;
97       lag_time=lag(time);
98       if lagdif>'00:45:00't then time=(lag_time+'00:43:12't) ;
99           else time=time;
100      drop lagdif lag_time ;
101  run;

NOTE: There were 11136 observations read from the data set WORK.LAG.
NOTE: The data set WORK.RFU1 has 11136 observations and 13 variables.
NOTE: DATA statement used (Total process time):
      real time           0.03 seconds
      cpu time            0.01 seconds


102  proc sort data=rfu1 ;
103      by sample_ID time ;
104  run;

NOTE: There were 11136 observations read from the data set WORK.RFU1.
NOTE: The data set WORK.RFU1 has 11136 observations and 13 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


105  data lag1 ;
106      set rfu1 ;
107      attrib lagdif format=time8. informat=8.;
108      lagdif = time - lag(time) ;
109      if time='00:00:00't then lagdif=. ;
110  run;

NOTE: Missing values were generated as a result of performing an operation on missing values.
      Each place is given by: (Number of times) at (Line):(Column).
      1 at 108:19
NOTE: There were 11136 observations read from the data set WORK.RFU1.
NOTE: The data set WORK.LAG1 has 11136 observations and 14 variables.
NOTE: DATA statement used (Total process time):
      real time           0.01 seconds
      cpu time            0.01 seconds


111  proc sort data=lag1 ;
112      by sample_ID time ;
113  run;

NOTE: There were 11136 observations read from the data set WORK.LAG1.
NOTE: The data set WORK.LAG1 has 11136 observations and 14 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


114  proc sgplot data=lag1 ;
115      series x=time y=lagdif / group=sample_id ;
116      yaxis values=('00:00:00't to '01:30:00't by '00:10:00't);
117  run;

NOTE: PROCEDURE SGPLOT used (Total process time):
      real time           0.88 seconds
      cpu time            0.04 seconds

NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: Some graph legends have been dropped due to size constraints. Try adjusting the
      MAXLEGENDAREA=, WIDTH= and HEIGHT= options in the ODS GRAPHICS statement.
NOTE: There were 11136 observations read from the data set WORK.LAG1.

118
119  data rfu2 ;
120      set lag1 ;
121      by sample_ID;
122      attrib lag_time format=time8. informat=8. ;
123      lag_time=lag(time);
124      if lagdif>'00:45:00't then time=(lag_time+'00:43:12't) ;
125          else time=time;
126      drop lagdif lag_time ;
127  run;

NOTE: There were 11136 observations read from the data set WORK.LAG1.
NOTE: The data set WORK.RFU2 has 11136 observations and 13 variables.
NOTE: DATA statement used (Total process time):
      real time           0.03 seconds
      cpu time            0.03 seconds


128  proc sort data=rfu2 ;
129      by sample_ID time ;
130  run;

NOTE: There were 11136 observations read from the data set WORK.RFU2.
NOTE: The data set WORK.RFU2 has 11136 observations and 13 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


131  data lag2 ;
132      set rfu2 ;
133      attrib lagdif format=time8. informat=8.;
134      lagdif = time - lag(time) ;
135      if time='00:00:00't then lagdif=. ;
136  run;

NOTE: Missing values were generated as a result of performing an operation on missing values.
      Each place is given by: (Number of times) at (Line):(Column).
      1 at 134:19
NOTE: There were 11136 observations read from the data set WORK.RFU2.
NOTE: The data set WORK.LAG2 has 11136 observations and 14 variables.
NOTE: DATA statement used (Total process time):
      real time           0.04 seconds
      cpu time            0.00 seconds


137  proc sort data=lag2 ;
138      by sample_ID time ;
139  run;

NOTE: There were 11136 observations read from the data set WORK.LAG2.
NOTE: The data set WORK.LAG2 has 11136 observations and 14 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.04 seconds
      cpu time            0.01 seconds


140  proc sgplot data=lag2 ;
141      series x=time y=lagdif / group=sample_id ;
142      yaxis values=('00:00:00't to '01:30:00't by '00:10:00't);
143  run;

NOTE: PROCEDURE SGPLOT used (Total process time):
      real time           0.92 seconds
      cpu time            0.06 seconds

NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: Some graph legends have been dropped due to size constraints. Try adjusting the
      MAXLEGENDAREA=, WIDTH= and HEIGHT= options in the ODS GRAPHICS statement.
NOTE: There were 11136 observations read from the data set WORK.LAG2.

144
145  proc freq data=rfu2 ;
146      table sample_id / nocum norow nocol nopercent ;
147      table row*well / nocum norow nocol nopercent ;
148  run;

NOTE: There were 11136 observations read from the data set WORK.RFU2.
NOTE: PROCEDURE FREQ used (Total process time):
      real time           0.31 seconds
      cpu time            0.04 seconds


149
150  **** 2) Visually determine time frame of baseline after rapid ThT decay and before earliest
150!  rxn;
151  proc sort data=rfu2 ;
152      by status row well time ;
153  run;

NOTE: There were 11136 observations read from the data set WORK.RFU2.
NOTE: The data set WORK.RFU2 has 11136 observations and 13 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.04 seconds
      cpu time            0.01 seconds


154  proc sgplot data=rfu2 noautolegend ;
155      title'PLOT 2a: Visually determined maximum RFU for NEG vs POS';
156      by status;
157      refline 26000 / axis=y label="Max NEG-RFU reading";
158      series x=time y=rfu / group=sample_ID ;
159      xaxis min='00:00:00't ;
160  run;

NOTE: PROCEDURE SGPLOT used (Total process time):
      real time           1.70 seconds
      cpu time            0.15 seconds

NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: The column format TIME8 is replaced by an auto-generated format on the axis.
NOTE: There were 11136 observations read from the data set WORK.RFU2.

161  title;title2;
162
163  proc sort data=rfu2 ;
164      by status dilution replicate ;
165  run;

NOTE: There were 11136 observations read from the data set WORK.RFU2.
NOTE: The data set WORK.RFU2 has 11136 observations and 13 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.06 seconds
      cpu time            0.01 seconds


166  proc univariate data=rfu2 noprint ;
167      by status dilution replicate ;
168      var rfu ;
169      output out=max_RFU max=maxRFU ;
170  run;

NOTE: The data set WORK.MAX_RFU has 96 observations and 4 variables.
NOTE: PROCEDURE UNIVARIATE used (Total process time):
      real time           0.03 seconds
      cpu time            0.00 seconds


171
172  data max_RFU ;
173      set max_RFU ;
174      attrib misfolding_activity format=8. informat=8. label='misfolding activity';
175      if maxRFU>26000 then misfolding_activity = 1 ;
176      else misfolding_activity = 0;
177  run;

NOTE: There were 96 observations read from the data set WORK.MAX_RFU.
NOTE: The data set WORK.MAX_RFU has 96 observations and 5 variables.
NOTE: DATA statement used (Total process time):
      real time           0.03 seconds
      cpu time            0.03 seconds


178  proc sort data=max_RFU ;
179      by status dilution ;
180  run;

NOTE: There were 96 observations read from the data set WORK.MAX_RFU.
NOTE: The data set WORK.MAX_RFU has 96 observations and 5 variables.
NOTE: PROCEDURE SORT used (Total process time):
      real time           0.01 seconds
      cpu time            0.00 seconds


181  proc freq data=max_RFU ;
182      by status dilution ;
183      tables misfolding_activity / bin(level=1 cl=exact);
184      output out=freq bin ;
185  run;

NOTE: There were 96 observations read from the data set WORK.MAX_RFU.
NOTE: The data set WORK.FREQ has 7 observations and 12 variables.
NOTE: PROCEDURE FREQ used (Total process time):
      real time           0.34 seconds
      cpu time            0.06 seconds


186  quit;
187
188  proc genmod data=max_rfu ;
189      class status ;
190      model misfolding_activity = status dilution / dist=poisson ;
191  run;

NOTE: Algorithm converged.
NOTE: The scale parameter was held fixed.
NOTE: PROCEDURE GENMOD used (Total process time):
      real time           0.45 seconds
      cpu time            0.01 seconds

Astounding · Posted 03-05-2019 04:11 PM

These results are consistent with these conditions:

misfolding_activity already exists in the incoming data, and
it is defined as being a character variable

To overcome that, get rid of the original version:

data max_RFU;
   set max_RFU (drop=misfolding_activity);
   attrib ...
   if ....
   else ....
run;

Most of the DATA step stays the same. Just add DROP= when bringing in the data.

das · Posted 03-05-2019 04:43 PM

Thank you. The data step I provided was the first instance of this variable (misfolding activity).

The point of this part of the code was to take the output of proc univariate (max_RFU; which contains the max value for each RFU curve over time) and then add a new variable (misfolding activity, numeric, 0 or 1) as an indicator if the curve ever exceeds the threshold value. I'm wondering if I might have avoided this problem if I had first deleted the max_RFU dataset before resubmitting edited code. Then again, isn't the output dataset just overwritten each time I submit the proc univariate?

Puzzled, but glad it is now working.

Dave

Astounding · Posted 03-05-2019 04:56 PM

In theory, that's true. Each time UNIVARIATE runs, it replaces max_RFU.

In practice, could this combination have occurred?

The program strings together several iterations of the logic into a single program.
One of the UNIVARIATEs fails, thus failing to replace max_RFU.
So the DATA step is actually bringing in max_RFU from the previous iteration, one that has already added MISFOLDING_ACTIVITY.

Numeric values have been converted to character

Re: Numeric values have been converted to character

Re: Numeric values have been converted to character

Re: Numeric values have been converted to character

Re: Numeric values have been converted to character

Re: Numeric values have been converted to character

Re: Numeric values have been converted to character

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